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Please give me answers for all the four questions.

Exhibit 2-1The numbers of hours worked (per week) by 400 statistics students are shown below.Number of hours Frequency0 9 2010 19 8020 29 20030 39 100Refer to Exhibit 2-1. The number of students who work 19 hours or less isa. 80b. 100c. 200d. 400

The NJ Bureau of Employment gathered the following sample information on the number of hours unemployed workers spent looking for work last week. Hours Spent

Searching Number of Unemployed 0 up to 20 12 20 up to 40 28 40 up to 60 60 60 up to 80 40 80 up to 100 20 (a) Determine the mean. (b) Determine the standard

deviation.

Hello,

We have a problem with an assignment in our statistics class;

we have a frame population of 290 counties. they are sorted after 5 variables. The information that is given (sorted for each of the 5 variables) are taxes, number of women (%), number of a certain political party (%), population, and income.

The assignemnt is to choose a sorted frame (variable) and a stratified variable.

Our problem is that we do not understand on what basis you choose and define your strata.

/Disa and Ellen

the difference between the median and mode

A study of wheat price at two cities yielded the following data

City A City B

Average price 2463 2797

Standard deviation 0.326 0.267

Coefficeint of correlation is 0.774. Estimate from the above data the most likely price of wheat i) at City A- when it is 2334 at city B. 2) at city B- where the price is 3.052 at city A.

MA 781/782 Qualifier 2011 1. (a) Carefully state the LehmannScheffe theorem. (b) Let X1, ,Xn be i.i.d. random variables from Binomial(r, ?) distribution where 0

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A set of 50 data values has a mean of 25 and a variance of 36.I. Find the standard score (z) for a data value = 31.

The number of computers sold per day by Dans Computer Work is defined by the following probability distribution:

X- 0,1,2,3,4,5,6

P(x)- 0.05, 0.10, 0.20, 0.20, 0.15, 0.10

A. P(3

B. P(x>3)=?

C. P(x

D. P(2

Suppose that an insurance agent for State Ranch claims that the average life insurance policy premium that he sells is $450 per year. A sample of 40 customers yields a mean of x=$475 and a standard deviation of s=$85. You decide to test his claim at the a=0.05 significance level. If the hypotheses are: Ho: u=450 and H1: u=/540 with a critical value of +- 1.96, compute the sample statistic and choose the appropriate conclusion

Give full answer.

For question #2 calculations must be done in Minitab

Attachments:

SU-PSY2008-W1.MTW

I am looking for someone who specializes in aleks pie for statistics.

1. Mrs. Bentons class had an average of 85 on the TLI math test. The standard deviation for the class is 10.06. If the girls scores are 100, 65, 67, 72, 80, 85, 85, 73 and using a level of significance of .05, what should we conclude?The girls average is not significantly differ

I have three assignments which are attached

thanks

Suppose that in bags of Christmas M&Ms, half of the M&Ms are supposed to be red, and the other half green. In a bag with 80 M&Ms and using a significance level alpha of 0.05, what is the highest number of red M&Ms at which we would not reject the null hypothesis that the proportions between the two colors are indeed equal in the population?

Suppose there are 400 possible points to earn in an economics class. For the purposes of this problem, well assume that there are only 4 possible outcomes. The

Distribution Function is given as the following: Score F(S) 250 .1 300 .4 350 .75 400 1

A box has three red balls and four green balls. A gambler bets $1 on red. A ball is randomly chosen. The gambler wins $1 if the ball is red, otherwise, he loses $1. He will play this game 200 times. The expected value for the gamblers net gain is

A Universities leadership council is made up of 13 members: 5 are students, 3 are teachers, and 5 are deans. A newspaper reporter is planning to select two of the council members for interviews. The first member will be chosen at random, and then the vsecond member will be chosen at random from the

if 25 tickets are sold and 2 prizes are to be awarded, finde the probability that one person will win both priczes if that person buys exactly 2 tickets.

a sample of 64 observations is selected from a normal population. the sample mean is 215, and the population deviation is 15. conduct the following test of hypothesis using the .03 significance level.

1.division of statsictics

2.variables

3.differentiate parameter from statistics

4.population and sample

5.different level of measurement applied in various kinds of data or variables.

Imagine you are a quality control manager at the Masterfoods plant. Write a two to three (2-3) page report on all the parts of the project. Structure your paper using the following headers: o Introduction: Purpose of Report o Project Part 1: Sampling Method o Project Part 2: Method, Analysis, Results o Project Part 3: Method, Analysis, Results o Project Part 4: Method, Analysis, Results o Project Part 5: Method, Analysis, Results o Quality Control: Assume that at least one of the tests from Part 4 was rejected (proportion not equal to targeted amount set by Masterfoods). Discuss how you would investigate the operations of the plant to determine why the proportions were off the targeted values. Speculate on three or more possible conditions in plant and bagging process that could have caused the observed results. o Conclusion You should explain what was done as well as the results. Tables can be used to present results and information. Your audience is a supervisor or manager who is unfamiliar with this project and may or may not be familiar with statistical terms. As a result, you will either need to explain/define statistical terms or write them in a way that a layman can understand. Excel file is attached. Part 3 is on Part 2 Summary tab and begins at line 20. Need this by tomorrow night, midnight. MAT 300 M&M Project Part

could you please complete this assignment with all the work showing so i will know how it is done and can practice on my own

Fifty percent of Americans believed the country was in a recession, even though technically the economy had not shown two straight quarters of negative growth (Business Week, July 30, 2001). For a sample of 20 Americans, make the following calculations.1.Compute the probability that exactly 12 peopl

The weights of a sample of five boxes being sent by FedEx are: 48, 24, 28, 12, and 40. (a) Compute the range. (b) Compute the mean deviation. (c) Compute the

standard deviation.

IF A STUFFED BEAR IS SELECTED AT RANDOM, WHAT IS THE PROBABILITY THAT IT IS A NOCONFORMING BEAR?

Do 7.30 and the one right after it addition to 7.30

This assignment has three seperate questions.

help

From the following data, calculate the percentage of workers getting wages (a) more than $ 44, (b) between $ 22 and 58, (c) the quartile deviation:

Wages ($) 01020304050607080

No. of workers 20 45 85 160 70 55 35 30 Total 500

I need complete solution of the problem

PLEASE ADHERE TO THE DUE DATE

Two different simple random samples are drawn from two different populations. The first sample consists of 20 people with 10 having a common attribute. The second sample consists of 2000 people with 1404 of them having the same common attribute. Perform a hypothesis test of p1 = p2 with a 5% signi

1. From the following data calculate the missing the missing frequency.

No. of tablets 4-8 8-12 12-16 16-20 20-24 24-28 28-32 32-36 36-40

No. of persons cured 11 13 16 14 ? 9 17 6 4

Attached is the assignment.

1. In a single-factor analysis of variance, MST is the mean square for treatments and MSE is the mean square for error. The null hypothesis of equal population means is rejected if:

2. In a multiple regression model, the following statistics are given: SSE = 100, R2 = 0.995, k = 5, and n = 15. Then, the coefficient of determination adjusted for degrees of freedom is:

49 people who recently made the trip and finds that the average non stop time was 4.4 hours with a sample standard deviation of 0.35 hours. State the Null Hypothesis (Ho)

A student is taking two courses, History and Math. The probability that the student will pass the history course is .60, and the probability of passing the math

class is .70. The probability of passing both is .50. What is the probability of passing at least one?

I need help completing an assignment. I have to generate a statistical report with a powerpint presentation. Can you help me? I need stages 3,4,and 5 completed by tomorrow 3pmEST

Mrs. Andersons class has a mean reading level of 38.4 with a standard deviation of 6.34. Mrs. Anderson wants to compare the boy students average reading level with the reading level of the whole class. The boy students reading levels are 28, 28, 34, 38, 38, 40, 40, 40, 50, 50.

Using a significance level of .05, what is the z-score?

what is the formula to calculate arithmetic mean by indirect method while

class interval:10-20 20-40 40-70 70-120 120-200

frequency: 4 10 26 8 2

) Intellex Industries makes memory units for a microcomputer. One of Intellexs customers has agreed to select three units randomly from a very large shipment and test them. If none of the units is defective, the customer will accept the shipment. Usually 2% of all Intellex units are defective. Determine the probability that the shipment will be accepted

Complete the two stats exercises

A plumbing and drainage business offers a 24 hour callout service. They operate two trucks, neither of which is very reliable. One truck is available for use 90% of the time and the other is available for use only 80% of the time.

(a) What is the probability that on a particular day, neither truck is available?

(b) What is the probability that on a particular day, at least one truck is available?

(c) What did you assume about the trucks to answer (a) and (b) ?

It takes an egg a mean of 21 days to hatch with a standard deviation of 1 day. What is the probability that it will take over 22 days for an egg to hatch? Can you explain the process?

Find an example of a presentation of statistics using a frequency distribution(s) from any media source.

Briefly describe the story or topic of the example, how the frequency distribution(s) is/are being reported, and conclusions that are drawn. Identify what scales of measurement are used for the important variables.

Consider the effectiveness of the presentation: Were the frequency distributions used effectively to report the results? Why or why not?

Then,

Give a brief description of the story or topic of the example, how the frequency distribution(s) is/are being reported, conclusions that are drawn, and state what scales of measurement are used for the important variables. Then comment on the effectiveness of the presentation: Were the frequency distributions used effectively to report the results? Why or why not?

A regression analysis is very similar to a correlation, but is the framework commonly used when one wants to predict one variable from another. For example: How much variance in happiness scores are predicted by hours of physical activity performed each week? With the simple regression framework, you have one predictor variable and one outcome variable and the outcome variable is measured on a continuous scale (soon you will learn how multiple regression can handle multiple predictor variables simultaneously).

30 percent are men clothing and 70 percent are women clothing, what is the probability that the next three orders will be mens clothing?

killer bees have been introduced into this country. There is fear that they will spread across the nation. However, they cannot survive in cold climates. It is thought that they cannot tolerate mean temperatures below 36 degrees Fahrenheit. We want to test claim to see if it is true.

Is this a correctly posed hypothesis testing problem?

According to the Opinion Research Corporation, the time men spend in the shower follows a normal distribution with a mean of 11.4 minutes and a standard deviation of 1.8 minutes.(a) Based on this model, find the probability of men that spend less than 10 minutes in the shower? (Be sure to include a

A study by the Information Technology department at WPU revealed company employees receive an average of four e-mails per hour. Assume the arrival of these e-mails

is approximated by the Poisson distribution. (a) What is the probability , Prof. Smith, received exactly one e-mail between 4pm and 5pm yesterday? (b) What is the

probability he did not receive any e-mail during this period? (c) What is the probability he received ten or more e-mails during the same period?

for a sample of 25 chefs, determine the probability of mean score for the sample being in the following ranges: probability that the mean

The Michigan Department of Natural Resources is trying to decide whether or not fish caught in Michigan lakes are safe to eat. In particular they are worried about the level of mercury in the fish. They conduct a study of 2000 fish caught in the last year in Michigan lakes and find that the average amount of mercury per fish is 1.4 milligrams with a standard deviation of .2 milligrams.

Assuming that the safe level of mercury consumption for fish is set at 1.7 milligrams, what percentage of fish fall at or below this level? What percentage falls above this level? How do you know this?

To answer this question you should provide a sketch of the normal curve, clearly labeled with appropriate information, as well as a clear written explanation. Also show your work so I can figure out how you arrived at your answers.

A deli bar offers a special sandwich for which there is a choice of five different cheeses, four different meat selections, and three different rolls. How many different sandwich combinations are possible?

The daily expenditure of 1000 families is given below.

Quality Control: Assume that at least one of the tests from Part 4 was rejected (proportion not equal to targeted amount set by Masterfoods). Discuss how you would investigate the operations of the plant to determine why the proportions were off the targeted values. Speculate on three or more possible conditions in plant and bagging process that could have caused the observed results.

online work

what is the probability of the height of a rock formation 30 feet or taller if the rock formation is 26?

all deciles are included in percentiles? ECO-07

in a recent survey 66% of the community favored building a police substation in their neighborhood. if 14 citizens are chosen, find the probability that exactly 11 of them favor the building of the police substation.

A random sample of 150 adults is chosen. 37 of these adults smoke from time time. What is the probability that between 21% and 28% of these adults smoke from time to time.

There are 4000 mangoes in a shipment. It is found that it has a mean weight of 15 ounces with a standard deviation of 2 ounces.How many mangoes have weights between 14 ounces and 16 ounces?

i need help with statistice i will pay $ 60

Please see attached fiels

draw a histogram,frequency polygon,frequency cure for the following class interval : 0-5,5-10,10-15,15-20,20-30,30-40,40-60,60-70,70-80 frequency: 10,21,28,43,60,30,60,80,40

While working for Life magazine, Archie is assigned to the Galapagos islands to photograph a rare, giant white turtle. The turtle can be found either on Isabella, the largest of the 16 Galapagos islands, or on Santa Cruz, the next largest island.Many have tried to locate the giant turtle, but 88% of

I submitted statistics homework problems last night. I am in an emergency situation. Spoke to Adam. Can you please check on the assignment please? emergency Please ask them to rush just this once. Need to speak to Adam

A recent poll of 700 people who work indoors found that 278 smoke. If the researchers want to be 98% confident of their results to within 3.5 percentage points, how large a sample is necessary?

what are the uses of averages? n

It is hypothesized that the mean starting salary of statistically trained graduates is $50,000.00. A random sample of 100 starting salaries of students with this training is taken and it is found that the sample average starting salary is $47,000.00 with a standard deviation of $2,000.00. Test this

probability and distribution

A sample of 10 was taken from an in-control process. A variance of 4.2 and a mean of 23.2 were calculated. Determine the 95% confidence

interval on the mean and standard deviation. Explain any potential problems with this analysis.

A randm sample of 400 items gives the mean 4.45 and varance as 4. can the sample be regaded as dran from a normal population with mean 4? (at 5% level of signigicance)

The mean of a normal probability distribution is 500 and the standard deviation is 10. About 95 percent of the observations lie between what two values?475 and 525480 and 520400 and 600350 and 650

I submitted staristics homework last night. Please rush

I need to speak to adam. Can you please contact him please

During the Computer Daze special promotion, a customer purchasing a computer and printer is given a choice of six free software packages. There are 9 different software packages from which to select. How many different groups of software packages can be selected?

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I have 4 problems that I need solved in statistics. I would like it solved showing step by step before the deadline.

Are there cases in which the assumptions may technically be violated, yet have no impact on your intended analyses

Hiw to generate and interpret descriptive statistics of centrla tendency, variability, skewness, and kurtosis for the continuous (scale) variables.

Let X1,X2, ~ Unif(0,?). Consider the following two estimators of ?: ?n = max{X1,,Xn}

? ~n = 2X n

(a) Find the PDF of ?n. (b) Find the bias, standard error, and MSE of ?n.

(c) Find the bias, standard error, and MSE of ? ~n.

(d) Fix ? = 1 and use R to make a plot of both MSEs as a function of n. (That is, put two lines on the same plot.) What does the plot tell you about the conditions under which we might prefer ?n or ? ~n?

The important of statistics as an individual,to government agent,public administration,prospective business man.

During the month of December in Mesa Verde National Park, the weight in kilograms of a healthy adult female deer (doe) is approximately normal with u=63.0 kg and standard deviation of (sigma) o=7.1 kg. Suppose a doe that weighs less than 54 kg is considered undernourished.(a) What is the probability

The following table gives the monthly income of 10 families in a town:

Family: 1 2 3 4 5 6 7 8 9 10

Income(Rs.) :7800 7600 6900 7500 8400 9200 11000 8100 10500 9500

a & b Dining has developed their own signature version of the famous dish which they call a&b food. The recipe is treated as a trade secret but the founder has indicated thata&b foodis flavoured with spices from South east asia. They have two restaurants. One is ina and the other is in b, . Diners can dine in or choose to buy take away packs. The price is the same irrespective. The price is $5 per pack.

The founder and CEO, Mrs. mary is concerned about the difference in revenues of the two restaurants. She feels that absenteeism may be the cause. He will like to open more outlets but feels he must understand the problems first.She has engaged you as a consultant to analyse their business data and advise him.

Mrs.Mary has provided you the data for a sample of 100 days from thea andb outlets. You are to assist Mrs.Mary to analyse the data a & b data using Excel software.

provide solutions

(a)

Define 95% confidence intervals for the revenues of the outlets. Identify the measures of location and dispersion. Interpret these confidence intervals in your report. With these findings, can you validate Mrs. Mary claims?

(10 marks)

(b)

Describe the key assumption(s) you have made in constructing this confidence interval. Discuss if this/these assumption(s) reasonable. Use the Central Limit Theorem in your discussions

(4 marks)

(c)

Execute statistical tests to explore whether the key assumptions (s) were found to be violated. Explain what your subsequent follow up will be.

(6 marks)

Evaluate this statement: Without good measurement, statistical analysis is worthless. Do you believe it is an overgeneralization, or do you think it is accurate as written? Provide examples to clarify and support your position.

Scores on the quantitative Graduate Record Exam (GRE) have a mean of 584 and a standard deviation of 151. Assume the scores are normally distributed. Suppose a graduate school requires (among other qualifications) that applicants score at or above the 90th percentile on the GRE quantitative exam. Wh

2.6 Suppose that we are testing H0: =0 vs. H1: >0 with a sample size of n=15. Calculate bounds on the P-value for the following observed values of the test statistics:(a) t0=2.35(b) t0=3.55(c) t0=2.00(d) t0=1.55

1. A researcher is interested in differences in the use of sick days by younger and older adults working for a state agency. A random sample of 10 younger (under 30) and 10 older (over 50) workers yielded the following data in sick days used within the past 3 months. Use these data to test the null hypothesis of no difference in the use of sick days between younger and older adults. Use a = 0.05. What do your results indicate?

Younger Adults Older Adults

1 2

1 0

2 3

3 2

3 10

6 12

7 5

4 4

0 5

4 8

These questions must be done in excel

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Why are uniform laws like the UCITA and the UETA necessary? Does it make any difference if these uniform laws are not enacted in every state?

How should the law be applied to a dispute arising from a deal that involves a party in a state in which the laws are enacted and a party in a state in which

they are not enacted?

a sociologist wishes to see if it is true that for a certain group of professional women, the average age at which they have their first child is 28.6 years. A random sample of 36 women is selected, and their age at the birth of their first child are recorded. At At Alpha=0.05, does the evidence agr

Suppose that an insurance agent for Almost Heaven Insurance claims that less than 20% of his life insurance policies ever have to pay out. You decide to test his claim at the a=0.02 significance level. A sample of 75 policies from last year finds that 30 of them had to pay out. The hypotheses is as follows: Ho: p>(underlined) 0.20 and H1: p< 0.20. with a critical value of -2.05 compute the sample statistic and choose the appropriate solution. Solution is either A) We cannot reject HO, thus it may be that at least 20% of the policies pay out or B) We reject Ho, thus less than 20% of the policies pay out. Question Question DetailsWhat happen to the rest of the question, there were two parts?? Please ask the question just as I sent it to you, do not change the wording.AgainIn terms of the mean and standard deviation: What does it mean to say that a particular value of x has a standard score of +2.9? AND W Given two i.i.d random variables (X, Y ) show that (a) If at least one of X or Y has expectation equal to zero then Cov(X, Y ) = E[XY ]. (b) Now use this to calculate E(X2) when E(X) = 0 (c) Use the definition of covariance to show that Cov(AX + a, BY + b) = AB A? Cov(X, Y ) for constants (A, B, a, b). (d) UsethedefinitionofvariancetoshowthatVar(X+Y)=Var(X)+Var(Y)+2Cov(X,Y) (e) Use (d) to show that the population correlation coefficient is between [?1, 1] A null hypothesis is p > 0.65. To test this hypothesis, a sample of 400 is taken and alpha is set at 0.05. If the true proportion is p = 0.60, what is the probability of a type II error?

construct two hypothesis that we could test by calculating and reporting the appropriate measures of association.

A box contains 10 balls numbered 1,2,,10. Two balls are selected at random without replacement.a) Find the probability that the numbers on both balls are odd.b) Find the probability that the sum of numbers on the two selected balls is 3.

THE UNIVERSITY OF THE WEST INDIES

ST. AUGUSTINE

FACULTY OF SOCIAL SCIENCES

DEPARTMENT OF BEHAVIOURAL SCIENCES

SOCI 1005 INTRODUCTORY STATISTICS FOR BEHAVIOURAL SCIENCES

COURSEWORK QUESTIONS SEMESTER 1 2010/2011

DUE DATE FOR SUBMISSION: MARCH 11, 2011

1.) (i) (a) What is sampling error? (b) Why does the possibility of sampling error present a problem to researchers when inferring a population from a sample x? (c) What is the difference between a real relationship in nature and one that results from sampling error?

(ii)What does a stand for, and what two things does it determine? (b) How does the size of a affect whether a result is significant or nonsignificant?

(iii) What four things must a researcher do prior to collecting data for a study?

2.) (i)Listening to music while taking a test may be relaxing or it may be distracting. To determine which, 49 participants are tested while listening to music and they produce an x = 54.63. The mean of the population of students who have taken this test without music is 50 (sx = 12). (a) Should we use a one-tailed or two-tailed test? Why? (b) What are our Ho and Ha ? (c) Compute Zobt. (d) With a = .05, what is Zcrit.? (e) Do we have evidence of a relationship in the population? If so, describe the relationship.

3.) Here are data from an experiment studying the effect of age on creativity scores

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Kindly let me know how much for the help of the attached questions.

Many thanks

Jackie

A lab technician is tested for her consistency by taking multiple measurements of cholesterol levels from the same blood sample. The target accuracy is a variance in measurements of 1.2 or less. If the lab technician takes 16 measurements and the variance of the measurements in the sample is 2.2, do

4. If we have one IV with five levels and we did a t-test between all possible non-redundant pairs of samples means at the 1% level of significance, the overall familywise error rate will be approximately

A) 0.096 B) 0.904 C) 0.01 D) 0.002 E) _______ (write your answer)

Mall security estimates that the average daily per-store theft is less than $250, but wants to determine the accuracy of this statistic. The company researcher takes a sample of 81 clerks and finds that mean = 210$ and s = $20.a. state the hypothesisb. give the acceptance range for H0, considering a

Quiz 3 Fall 2014 OL1

Each question is worth 3 points, except the last question, which is worth 4 points. Submit through your assignment folder by 11:59 PM EDT on October 5thth.

I know I dont need to remind anyone that UMUCs academic integrity policies. We are all adults. We know that we shortchange only ourselves if we arent honest. This quiz needs to be completed without help from others. The work submitted must be your own.

A new treatment for back pain was designed. Twenty patients were given the new expensive treatment and also a fake treatment.

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A normal population has a mean of 21.0 and a standard deviation of 6.0.

What proportion of the population is less than 17.0? (Round z-score computation to 2 decimal places and

your final answer to 4 decimal places.)

Have to do this on Microsoft excel. Please also submit the conclusion of this written in word format.

Solve Problem and Applications: 11-1, 11-8, and 12-2 at the end of chapters 11 and 12 in your textbook.

Write a minimum 5 to 6 sentences (paragraph) for each statement stated in the attach. There should be a total of 6 opinionated short paragraphs. Please make sure you give your own opinion on the statements attach.

A toys store claims that their toys ( n=100) will last 2 or more years. For a test at alpha = .01 the critical z value is: ______________The Acceptance range is: _______________Show details please

Only ned to do Part A and C. I have part b and d. a and C have to be done on Excel. And you also have to write a report in word. I am attaching the report I have..the report I have is actually from last year project in which part A and C are slightly different. So you can actually look at it and then do A and C and add the stuff in the report.

show that the probability of the union of events A and B can be written as follows: P(AUB)=P(A) + P(B) [1-P(A|B)]

Given Ha: > 85 and p-value = 0.007. Do you reject or do not reject H0 at the 0.01 level of significance?A.reject H0B.not sufficient information to decideC.do not reject H0

2010

2009

DRSF in 2009

DRSF in 2010

5130.00

4290.00

5490.00

5610.00

6330.00

7280.00

5850.00

7410.00

6330.00

5370.00

6810.00

6090.00

5610.00

6440.00

6920.00

5610.00

6320.00

6090.00

6320.00

6680.00

5610.00

4880.00

5370.00

6320.00

8010.00

7640.00

5250.00

3630.00

5250.00

4890.00

4060.00

4620.00

4890.00

4650.00

5130.00

3710.00

4170.00

3710.00

5610.00

5370.00

3340.00

4650.00

5010.00

4280.00

4420.00

4650.00

4290.00

3820.00

4050.00

4410.00

4290.00

4530.00

5730.00

2010

2009

DRSF in 2009

DRSF in 2010

5130.00

4290.00

5490.00

5610.00

6330.

kindly find the answer for the question no.3

LECTURE.pptx

Hypothesis Testing

One sample

Independent

Two sample

Z-test

Type 1 error

One side

dependent

Two sides

Power

T test

Type 2 error

Hypothesis Test

In estimation we learned how to construct confidence intervals for an unknown m parameter

A different inferential technique (than point and interval estimation) is hypothesis testing.

In this approach we start out by making an assumption about m based on the sample statistic and then validate the assumption.

Statistical hypothesis testing gives us a method of substantiating our suspicions through formal procedures.

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A certain manufacturing process produces vacuum tubes whose lifetimes in hours are independently distributed r.v.s with Negative Exponential distribution with mean 1,500 hours. Use the CLT in order to find an approximate value for the probability that the total lifetime of 50 tubes will exceed

Solve the problem.Consider the following set of salary data:To determine if women have a different mean salary than men, we would test:A.H0: 1 2 = 0 vs. Ha: 1 2 > 0B.H0: 1 2 = 0 vs. Ha: 1 2 = 0C.H0: 1 2 = 0 vs. Ha: &m

In the Ranking Elasticity discussion forum, consider the following list of seven goods and then rank them from most (1) to least (7) elastic: a. Beef b. Salt c.

European vacation (the event, not the movie) d. Steak e. Season 1 of the I Love Lucy? show on DVD f. Honda Accord g. Dijon mustard

The attached excel file contains data obtained from 274 couples regarding their education level, annual salary, the value of the cars that they own, the value of their homes, their total savings value (including stocks and bonds) and their social climber index (scale of 1-10, where 1 means very unconcerned about social status, 10 means very concerned). With this data and using excel statistical functions, answer the following questions:

Generate box plots that illustrate education level versus salary, and social climber index versus salary.

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If you hypothesize that there is no difference between means, than H0 will be?

For the following sample data set, please compute: Mean, Median, Mode, Range, Variance, std. Deviation and SEM. If possible please show work.

X

22

21

21

20

20

20

20

19

19

19

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13

Statistics affects everybody and touches life at many points. It is both a science and an art.

How can you overcome these limitations? Give your recommendations of how to improve

this research

Suppose that a certain college class contains 46 students. Of these, 23 are Freshman, 24 are Psychology majors, and 10 are neither. A student is selected at random from the class.a) What is the probability that the student is both a Freshman and Psychology major.b) Given that the student selected is

please do it professionally

and solve it as a perfect answer

i attached some files which is related to the 2 questions

Please identify any form of bias or possible error within the experimentalsetup in the situation presented below. Then mention one alternative methodof running this experiment.A medical researcher is running a clinical drug trial using lab rats. DrugA is given to 100 rats in cages on the left side o

Problem1

If Z is N(0,1), find

a) P(0.53 < Z = 0.87)
b) P(-0.79 = Z < 1.52)
c) P(Z> -1.77)

e) P ( absolute value Z < 1.96)
g) P( absolute value Z < 2)
d) P(Z> 2.89)

f) P(Aboslute value Z <1)
h) P(absolute value Z <3)
Problem 2
In a smoking survey among boys between the ages of 12 and 17, 78% prefer to date nonsmokers
1% prefer to date smokers, and 21% dont care. Suppose seven such boys are selected randomly .
let X equal the number who prefer to date nonsmokers and Y equal the number who prefer to date smokers.
A) Determine the joint p.m.f. of X and Y. Be sure to include the support of the p.m.f.
B) Find the marginal p.m.f. of X . Again include the support.
Problem 3
Telephone calls enter a college switchboard according to a poisson process on the average of two
every 3 minutes. Let X denote the waiting time until the first that arrives after 10am
a)What is the p.d.f of X?
b) Find P(x>2)

Problem 4

The strenght X of a certain material is such that its distribution is found by X=e^y, where Y is N(10,1).Find the distribution function and p.d.f. of X, and compute p(10,000 < X < 20,000) NOTE: the random variable X is said to have a lognormal distribution.
For each one of the following null hypothesis, determine if it is a left-tailed, a
right-tailed, or a two-tailed test.
a. = 10
b. P = 0.5
c. is at least 100.
d. = -20
e. p is exactly 0.22
In a Poisson distribution U=4. A) What is the probability that X=2? B) What is the probability that X is 2?
homework statistics:
Question 5 (ross 1.6): Show that E (FUG) = EF U EG
In the attached files, you can have details. In the second question the word is statistics
Suppose a public university claims that more than 3/4 of their students graduate within four years. A random survey of 400 alumni finds that 290 of them graduated within four years. The hypotheses is as follows: Ho: p< (underlined) 0.75 and H1: p. 0.75. Find the critical value for the hypothesis. Assume that the significance level is a=0.05. Remember that this is a right tailed test, so your critical value will be positive. Remember also that in one tailed tests you dont have to cut your a value in half.
Suppose that A and B are independent events such that P(-A)= 0.70 and P (B=0.40)Find P (AnB) and P (A U B)P (A n B) =P ( A U B) =
what is the importance of statistics with the ff.:
a. language
b. education
c. science
d. business
e. engineering
f. government
its a simple question
so please do it correctly
multiple choice test has 12 questions each of which has 5 possible answers, only 1 of which is correct. if Judy, who forgot to study for the test, guesses on all questions, what is the probability that she will answer 3 questions correctly? Round to 3 decimal places.
Hello,
needed help in word or excel
please see any directions for software
timeline friday night EST
To obtain a margin of error MOE= 1 minutes for an interval that contains 95% of all sample means, the sample size is n = _____.
I want you to solve all of the question except #8
5. The table below shows Psychology exam scores, Statistics Exam scores, and IQ scores for a random sample of students. What can you observe in the relationship between IQ and psychology, psychology and statistics, and IQ and statistics? Using a web-calculator, obtain the Pearsons r and coeff
Mean weight should be 35 grams=u. We suspect it is actually less than 35 grams. A sample of n=15 has a mean of 29.2 grams and s=4.2 grams. Find: a. A 90% confidence interval for the true mean, and b. Test the claim that the mean is less than 35 grams. Use a significance level of .05. Assume the samp
1. A study of elephants is conducted to determine the average weight of a certain subspecies of elephants. The standard deviation for the population is 1500 pounds. At a 99% level, how many elephants need to be weighed so the average weight will be accurate to within 200 pounds?
A) 375
B) 449
C) 538
D) 507
2. What do you conclude if 50,000 people respond to an NBC News survey in which TV viewers were asked to call a toll-free number, and 67% oppose any restrictions on the Internet? You do not need to do any calculations.
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what is the equation of the ols regression line for predicting mortality rates from wine consumption? interpret the coefficients.
please help!
Consider the following:Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 130 millimeters, and a variance of 49. If a random sample of 43 steel bolts is selected, what is the probability that the sample mean would be greater than 129.1 mil
The question was: A book shelf manufacturer claims that their largest bookshelves can each withstand an average of 290 kilograms of books, with a standard deviation of about 22 kilograms. A sample of 121 bookshelves is selected using simple random sampling with replacement and the weight they could each withstand was measured. Using this information, answer the following questions:
For full marks your answer should be accurate to at least four decimal places.
a) Probability that the value of the sample mean is less than 287.9400 kilograms or greater than 289.7000 kilograms
b) Probability that the value of the sample mean is between 293.1400 kilograms and 294.1600 kilograms
c) Probability that the value of the sample mean is between 288.6400 kilograms and 295.1000 kilograms
d) Probability that the value of the sample mean is less than 292.4000 kilograms or greater than 295.5600 kilograms
e) Probability that the value of the sample mean is between 287.5800 kilograms and 288.6800 kilogram
Find out co-efficient :
X: 42 45 35 38 50 55 48 50 36 40
Y: 15 10 18 22 25 18 17 20 18 12
2. From the following data compute quartile deviation and the coefficient of skewness:
Size 5 7 8 10 11 13 14 16 17 19
Frequency 14 24 38 20 4
1.The manufacturer of the X-15 steel-belted radial truck tire claims that the mean mileage the tire can be driven before the tread wears out is 60,000 miles. The standard deviation of the mileage is 5,000 miles. The Crosset Truck Company bought 48 tires and found that the mean mileage for their trucks is 59,500 miles. Is Crossets experience different from that claimed by the manufacturer at the .05 significance level?
2.The management of White Industries is considering a new method of assembling its golf cart. The present method requires 42.3 minutes, on the average, to assemble a cart. The mean assembly time for a random sample of 24 carts, using the new method, was 40.6 minutes, and the standard deviation of the sample was 2.7 minutes. Using the .10 level of significance, can we conclude that the assembly time using the new method is faster?
3.Experience raising New Jersey Red chickens revealed the mean weight of the chickens at five months is 4.35 pounds. The weights follow the normal distribution. In an effort to increase their weight, a special additive is added to the chicken feed. The subsequent weights of a sample of five-month-old chickens were (in pounds): 4.41 4.37 4.33 4.35 4.30 4.39 4.36 4.38 4.40 4.39
At the .01 level, has the special additive increased the mean weight of the chickens? Estimate the p-value.
4.A recent article in the Wall Street Journal reported that the 30-year mortgage rate is now less than 6 percent. A sample of eight small banks in the Midwest revealed the following 30- year rates (in percent):
4.8 5.3 6.5 4.8 6.1 5.8 6.2 5.6
At the .01 significance level, can we conclude that the 30-year mortgage rate for small banks is less than 6 percent? Estimate the p-value.
Jim Smart started a furniture business in December, 1998. During that month, his factory produced 50 tables. During the whole 1999, 1000 tables were made. In January 2000, Jim proudly announced, During the last year we increased our production 20 times!
Dont discuss what is said, what is wrong with what is said.
True or False?
4. Class width = Upper limit of a class Lower limit of the same class.
5. A class frequency may never be equal to zero.
6. The data 9, 12, 18, 30, 25, 15, 8, 42, 29, 44, 31, 26 can be broken into 5 classes: 8-15, 16 23, 24 31, 32 39, 40 44.
Howmework is to solve formula.
Assume that male and female births are equally likely and that the birth of any child does not affect the probability of the gender of any other children. Suppose that 450 couples each have a baby, find the mean and standard deviation for the number of girls in the 450 babies.
Draw a diagram that shows the relationship of a raw score of 20 to Z, T and the percentile in a distrbution with the following
The problem:Due to financial hardship, the Nyke shoe company feels they only need to make one size of shoes,regardless of gender or height. They have collected data on gender, shoe size, and height and haveasked you to tell them if they can change their business model to include only one size of shoes regardless of height or gender of the wearer. In no more 5-10 pages (including figures), explain yourrecommendations, using statistical evidence to support your findings. The data found are below:
Suppose there are 400 possible points to earn in an economics class. For the purposes of this problem, well assume that there are only 4 possible outcomes. The
Distribution Function is given as the following: Score F(S) 250 .1 300 .4 350 .75 400 1
A pizza restaurant offers 13 different toppings 5 of them are vegetarian and 8 of them are non vegetarian A customer selects her first topping at random and then selects another one at random from the remaining toppings. What is the probability that both her selections are non vegetarianReport you
In a recent study of 71 eighth graders, the mean number of hours per week that they watched television was 18.7 with a standard deviation of 5.8 hours. Find the 99% confidence interval.
A quality control manager found that 30% of work related problems occurred on Mondays, and that 20% occurred in the last hour of the days shift. It was also found
that 4% of worker related problems occurred in the last hour of MOndays shift What is the problbility that a worker related problem will occurred on a monday but
not in the last hour of the dayss shift?
they are 17 question online.
chaptre 7: only QN: 3,4,5,6
chapter 8: 1,2,3,4,5
chapter 9: 1,2,3,4,5,6
From the probability distribution, find the mean and standard deviation for the random variable x, which represents the number of cars per household in a town of 1000 households.x P(x)0 0.1251 0.4282 0.2563 0.1084 0.083
i want to know scope and limitations of statistics and also the relationship of statistics with business and industry
in a given set of scores the ff were obtained : the highest score is 83 and the median score is 75, 30% of the students got scores above 80, and the first quartile is 60.
The number of radio hits daily is a normally distributed random variable with mean 10,000 and standard deviation 2,400.A). What is the probability of getting more than 12,000 hits?B). What is the probability of getting fewer than 9,000 hits?
Explain how the empirical rule help explain the ways in which the values in a set of numerical data cluster and distribute?
Use graphical techniques with descriptive statistics, to describe payroll, attendance, and number of wins
5. Education seems to be a difficult field in which to use quality techniques. One possible outcome measures for colleges is the graduation rate (the percentage of the students matriculating who graduate on time). Would you recommend using P or R charts to examine graduation rates at a school? Would this be a good measure of Quality?
2. Your company has launched a new product .Your company is a reputed company with 50% market share of similar range of products. Your competitors also enter with their new products equivalent to your new product. Based on your earlier experience, you initially estimated that, your market share of the new product would be 50%. You carry out random sampling of 25 customers who have purchased the new product ad realize that only eight of them have actually purchased your product. Plan a hypothesis test to check whether you are likely to have a half of market share.
5. t-tests for single samples are perforemd using a test statistic determined by tha sample average and the sample variance. How does the formula look like?
For a t-statistic in a small sample to be t-distributed the original measurements have to follow a certain class of distributions. Which class.
For large sample sizes this assumption is not so crucial, try to explain in words why?
consider the following regression equation between Y (grade) and number of absences (X):Y = 4.622X + 100Which statement below is crrect?1. this equation shows a positive correlation between X and Y2. this equation shows a negative correlation between X and Y3. The regression equation cannot provid
Ms. Maria Wilson is considering running for mayor of the town of Bear Gulch, Montana. Before completing the petitions, she decides to conduct a survey of voters in
Bear Gulch. A sample of 400 voters reveals that 300 would support her in the November election. A) Estimate the value of the population proportion. B) Develop a
99% confidence interval for the population proportion. C) Interpret your findings
A set of 50 data values has a mean of 25 and a variance of 36.II. Find the probability of a data value > 31.

The data blow shows the duration of unemployment in a certain country.

Duration in weeks No of unemployment (thousands)

Up to 1 53

Over 1 and up to 2 41

Over 2 and up to 3 28

Over 3 and up to 4 21

Over 4 and up to 8 57

Over 8 and up to 13 43

Over 13 and up to 26 65

Over 26 and up to 39 37

Over 39 and up to 52 24

Over 52 112

Calculate the mean

help

An employer is deciding which top-sellers should be promoted. The employer is deciding who will receive the promotion based solely on the employees daily sales figures. The tables below represent the daily sales total for ten random days in the last month.

Find the five-number summary for the sales data of Employee 1:

Sample Sales Data for Employee #1

1 $1,200

2 $1,875

3 $2,630

4 $750

5 $1,330

6 $2,100

7 $3,150

8 $2,900

9 $1,750

10 $1,600

Also find the 5-number summary for the sales data of Employee 2:

Sample Sales Data for Employee #2

1 $850

2 $1,120

3 $1,740

4 $2,200

5 $1,500

6 $3,300

7 $3,700

8 $2,990

9 $3,000

10 $2,550

After finding (and listing) the 5-number summary for both employees, describe the nature of data in terms of a box-plot (would it be symmetric or skewed?) and compare the data (Employee #1 verses Employee #2). Based on the high sales, which employee should the employer promote?

Finally, find the IQR for both datasets and determine if any outliers exist for Employee #1 or Employee #2.

The CEO, untrained in statistics, specifically hired you to help him make better decisions. He asked you to join him for a working lunch to explain how you would reach conclusions about data in a general sense, and you decided to share with him the statistical tool called hypothesis testing. Discuss the following specific points (300 to 800 words): What is hypothesis testing in the field of statistics, and why is it an important tool, based on your research findings? Your discussion must be mainly research based along with reference citations. Define null and alternate hypotheses and how they are related to each other? State the difference between one tailed and two tailed hypotheses along with specific examples similar to live chat presentation examples. What would be an example of the null and alternative hypotheses in the research data below? (Hint: remember what the sampling of a larger population is; what are you trying to assess with this research?) o Sample size: 1,100 o Likely potential target market: 4 million o Satisfaction scores ranged from 1(very dissatisfied) to 5 (very satisfied) o Average sample satisfaction score: 4.5 o The standard deviation of the sample scores is unknown. Why is it important to properly frame the null and alternative hypotheses?

X is normally distributed with mean 250 and standard deviation 40. What value of X does only the top 15% exceed?

Scores on the SAT Mathematics test (SAT-M) are believed to be normally distributed with mean . The scores of a random sample of three students who recently took the exam are 550, 620, and 480. A 95% confidence interval for based on these data isA. 550.00 128.58.B. 550.00 &plu

importance of statistics in language?

importance of statistics in business/economics?

Hi I have a statistics problem that I worked on but there seems to be an error. I need to know what error was made and the correct T value

A coefficient of correlation equal to -.878 shows. WHich is the correct answer?1. a very strong relationship2. a very weak relationship3. a moderate relationship4. r value is invalid

Describe, in your own words, the following term and give an example of this term1.Variable

Please do all questions in Section A using SPSS where required and a power point presentation in Section C.

Linear Programming and Inventory Model. See attached file

The salaries of teachers last year reveal that the mean salary is $542000 and the median is $400000. The standard deviation is $448500

Automobiles arrive at the Elkhart exit of the Indiana Toll Road at the rate of two per minute. The distribution of arrivals approximates a Poisson distribution. A)

What is the probability that no automobiles arrive in a particular minute? B) What is the probability that at least one automobile arrives during a particular

minute?

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use figure 8-8 to estimate the percentage of mechandise coupons that were redeemed. Also estimate the percentage dollar vallue of the coupons that were redeemed. Are these number approximately equal

ASSIGNMENT 1 (Linear Programming) The manager for a Toy Manufacturing Company is scheduling hourly production levels for three of its trucks TRUCK1, TRUCK2, TRUCK3. Each truck is processed through three departments: Fabrication, Assembly, Packaging. The following Table X indicates the time to required to process one unit in each department (in minutes per unit) the total production time available during each hour of operation and profit margin for each product.

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Carefully review Chapter 9 in your text.

Review the PowerPoint for Chapter 9.

Consider the following study and data set:

Martha believes that a relaxation technique involving visualization will help people with mild insomnia fall asleep faster. She randomly selects a sample of 20 participants from a group of mild insomnia patients and randomly assigns 10 to receive visualization therapy. The other 10 participants receive no treatment. Each participant is then measured to see how long (in minutes) it takes him or her to fall asleep. Marthas data are below. The numbers represent the number of minutes each participant took to fall asleep.

No Treatment (X1) Treatment (X2)

22 19

18 17

27 24

20 21

23 27

26 21

27 23

22 18

24 19

22 22

The assignment (1-2 pages):

Please respond to the following questions related to the research study and data presented in the To Prepare section.

Should Martha use an independent-samples t-test or a related samples t-test? Explain your answer.

What are the independent and dependent variables?

Using the fact that Martha believes the treatment will reduce the amount of time to fall asleep, state the null and alternate hypotheses.

Would you use a one-tailed or two-tailed test? Explain your response.

What is the df?

Consider that a = .05. Then use Appendix B, Table 2 to determine the critical value, state the value, and how you found it.

Consider that tobt = 1.49. Report the statistical results using the correct format.

What should Martha conclude?

Excel file is for question 1.

Please submit all calculations with solutions.

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It is believed that 10% of all voters are Independents. A survey asked 25 people to identify themselves as Democrat, Republicans, or Independent.a). What is the probability that none of the people are Independent?b). What is the probability that fewer than five people are Independent?c). What is the

Please see the attached file

All 6 members of a family work. Their hourly wages (in dollars) are27, 20, 17, 18, 32, 18Assuming that these waes constitute an entire population, find the standard deviation of the population. Round your answer to at least two decimal places.Thanks

18

64

22

60

19

66

20

62

23

63

26

67

25

65

18

68

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65

20

68

22

63

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62

23

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64

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66

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65

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ID

Age

Sex

Height

Year

1

Female

Freshman

2

Female

3

4

5

6

Male

7

8

9

10

11

Sophomore

12

13

14

15

16

17

18

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21

Junior

22

23

24

25

26

27

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29

30

31

Senior

32

33

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36

37

38

39

40

Data for question 1

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. The U.S Dairy industry wants to estimate the mean yearly milk consumption. A sample of 16 people reveals the mean yearly consumption to be 60 gallons with a

standard deviation of 20 gallons. A) What is the value of the population mean? What is the best estimate of this value? B) Explain why we need to use the t

distribution. What assumption do you need to make? C) For a 90% confidence interval, what is the value of t? D) Develop the 90% confidence interval for the

population mean is 63 gallons? E) Would it be reasonable to conclude that the population mean is 63 gallons?

At a factory that produces pistons for cars Machine 1 produced 600 satisfactory pistons and 400 unsatisfactory pistons today Machine 2 produced 891 satisfactory pistons and 99 unsatisfactory pistons today. Suppose that one piston from machine 1 and one piston from achine 2 are chosen at random from

A pharmaceutical company has determined that if a new cholesterol-reducing drug is manufactured (introduced to the market), the following probability distribution will describe this drugs contribution to the companys profits during the next six months.The company management has decided to market t

For a certain type of cancer there is a test that 90% of those with cancer react positively and 5% of those without cancer react positively. Assume 2% of the patients in a hospital have cancer. What is the probability that a patient selected at random who reacts positively to this test actually has

2.20 Two types of plastic are suitable for use by an electronic calculator manufacturer. The breaking strength of this plastic is important. It is known that *1 = *2 = 1.0 psi. From random samples of n1 = 10 and n2 = 12 we obtain 1 = 162.5 and 2 = 155.0. The company will not adopt plastic 1 un

A multiple-choice test has 30 questions and each one has five possible answers, of which one is correct. If all answers were guesses, find the probability of getting exactly four correct answers. (Points : 3).0604.1325.2552.8000

Please see attached file

Let P(X)=.55 and P(Y)=.35. Assume the probability that they both occur is .20. What is the probability of either X or Y occurring?

assignment #2 is due today please help assignment 1 is due tomorrow

1. A random sample of 400 college students was selected and 120 of them had at least one motor vehicle accident in the previous two years. A random sample of 600 young adults not enrolled in college was selected and 150 of them had at least one motor vehicle accident in the previous two years. At the .05 level, you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period.

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Do this on microsoft excel..an expert from here have already done part a and cI already have a report from last year which is the same but part a and c are different..so you basicallly gotta edit the report byt adding part a anc c and stuff.

A simple random sample of front seat accupants involved in car crashes is obtained. Among 2823 occupants not wearing seat belts, 31 were killed. AMong 7765 occupants wearing seat belts,16 were killed. CONstruct a 90% confidence interval estimate of the difference between the fatality rates for those

1. Suppose that X has a distribution with 5 degrees of freedom.

Using tables, determine the values and for which

It has been found that 7 per cent of the tools manufactured by a factory are defective.

What is the probability that in a shipment of 625 such tools (a) 8 per cent or more, and (b) 7 per cent or less will be defective?

11 quetions on my staTLAB DUE DATE IN 5 DAYS, YOU CAN RESYBMIT THE ANSER 4 TIME. NEED 100% SCORE PLEASE.

In a recent study 90 percent of the homes in the United States were found to have TVs. In a sample of nine homes, what is the probability that:a. All nine have TVs?b. Less than five have TVs?c. More than five have TVs?d. At least seven homes have TVs?

statistics is a method of decision making in the face of incertanity on the basis of numerical data and calculated risks discuss

Exercise 3.1. and t distributions

When you are conducting the t test, the population doesnt need to be approximately normally distributed. True or False?

A recent article in the Cincinnati Enquirer reported that the mean labor cost to repair a heat pump is $90 with a standard deviation of $22. Montes Plumbing and

Heating Service completed repairs on two heat pumps this morning. The labor cost for the first was $75 and it was $100 for the second. Assume the distribution of

labor costs follows the normal probability distribution. Compute Z values for each and comment on findings.

If r is not significant the which of the following is correct1. A regression analysis should be done2. A regression analysis should never be done3. r value doesnt influence the regression significance

State the null and alternative hypotheses:The Pastry shop claims that its chocolate cookies have at most 70% chocolate per cookie.Show details please

3. In a management class of 100 students three languages are offered as an additional subject viz. Hindi, English and Kannada. There are 28 students taking Hindi, 26 taking Hindi and 16 taking English. There are 12 students taking both Hindi and English, 4 taking Hindi and English and 6 that are taking English and Kannada. In addition, we know that 2 students are taking all the three languages.

a machine has 7 components which function independently. The probability that a component will fail is 0.2. compute the probability that at least 4 failed

You work at a major regional hospital and you are concerned about waiting times in the emergency room. This file contains data on some random samples of patients. Use the data to answer the following questions. Problems 3.1 and 3.2 come from week 7 material, and 3.3 relates to week 8 material. Note that part b (and ONLY part b) of question 3.1 is extra credit. Should you encounter any difficulties with these problems, the optional problems below are very similar to the questions in this problem set, and the answers to the optional questions can be found in the back of the textbook. You can also request that the tutor work extensively with you on the optional problems.

Problem 3.1

Column A contains wait time (in minutes) from arrival to triage from a sample of 100 patients. Your emergency room sees 80,000 patients per year. Hospital administrators have claimed that the average arrival-triage wait time is ten minutes.

a) Construct a 95% confidence interval for the population mean arrival-triage wait time.

b) EXTRA CREDIT-Construct a 95% confidence interval for the total time spent waiting for triage throughout the year.

c) Based on your answer in part (a) (and part (b) if you did that), explain (in plain English) what these results mean.

Excel Tips: The Excel functions =TDIST and =TINV are similar to the functions =NORMSDIST and =NORMSINV and can be used to calculate T critical values. See the Excel helpfile for instructions on the syntax for this function.

Problem 3.2

a regression analysis on a set of data (with two variables, X and Y) outcomes a value of r-square = .8245What would be the interpretation of this value?Show details please.

Let X,Y be i.i.d. random variables with realizations (xi,yi) for i = 1,,N. Let x = 1 ??N N i=1 y = 1 ??N yi with sample correlation coefficient ?. Show that the

following expressions are true: N i=1 (a) ??Ni=1(xi ? x) = 0 (b) ??Ni=1(xi ? x)(yi ? y) = ??Ni=1(xi ? x)yi = ??Ni=1 xi(yi ? y) (c) ??Ni=1(xi ?x)(yi ?y)=??Ni=1xiyi

?nA?xA?y xi and ???????????????n (xi ?x)(yi ?y) (d)?=???? i=1 ?? ??????i=1 (xi ?x)2 n (yi ?y)2 i=1 (e) Define x ? = xi?x and y ? = yi?y where (s ,s ) are the

standard deviations of (x,y). Find the sample isx isy xy mean and variance of (x ? , y ? ). Show that the sample correlation will always be between [?1, 1]. 1 ii

Pathological gambling is an impulse-control disorder. The American Psychiatry Association lists 10 characteristics that diagnose the disorder in its DSM-IV manual. The National Gambling Impact Study Commission randomly selected 2417 adults and found that 35 were pathological gamblers. Is there evide

A random-digit dialing sample of 1750 adults found that 1140 used the Internet. Of those that used the Internet 940 said they expect businesses to have Web sites containing product information; 320 of the 610 nonusers expressed the same opinion.Let p1 and p2 be the proportion of all parts users and

. In order to estimate the difference between the yearly incomes of marketing managers in the East and West of the United States, the following information was gathered.East Westn1 = 40 n2 = 45= 72 (in $1,000) = 78 (in $1,000)s1 = 6 (in $1,000) s2 = 8 (in $1,000)a. Develop an interval estimate for t

Advanced work

A report states that 57% of home owners had a vegetable garden. How large a sample is needed to estimate the true proportion of home owners who have vegetable gardens to within 3% with 95% confidence?

An MP3 manufacturer claims that 65% of teenagers 13 to 16 years old have their own MP3 player. A researcher wishes to test the claim and selects a random sample of 80 teenagers. She finds that 57 have their own MP3 players. At a=0.05, should the claim be rejected? Use the P-values method

I have 16 question on my statlab need help with to improve my scores with muty attempts. Also quiz 5 questions with 3 attempts in same class

As a mental health professional in the new era, consider how the appropriate application of statistical analysis can be used to understand real-world issues and issues in behavioral science, and to inform decision making. As a mental health professional, you are expected to remain current on field research and to apply this new knowledge within your work.

For this assignment, complete the following:

Select an area of interest within psychology.

Use the Capella library to locate one peer-reviewed journal article that uses the interpretation of statistical analysis to resolve an issue in the field. Select an article that uses quantitative (not qualitative) analyses.

Write a 23-page paper in which you will provide a critical analysis of the article. In this paper, you consider the interpretation and selection of the supporting statistical analyses. To do this, you will:

Explain the analysis and describe the decision that was made. Was the null hypothesis rejected or did the article fail to reject the null hypothesis? Provide examples of the statistical language used, and translate the examples from statistical language to real-world language.

Evaluate the research and discuss areas of strength and areas of weakness in the study design, research process, and interpretation and description of the results.

Explain whether you think the conclusions accurately reflect the analysis. Use both statistical and real-world language to support your opinion.

Be sure to communicate in a manner that respects the dignity, cultural and ethnic backgrounds, and individual uniqueness of others.

You may wish to work with the APA Paper Template (given in the Resources) to increase your understanding of APA style and format, a key component of academic writing.

The Islander Fishing Company purchases clams for $1.50 per pound from Peconic Bay fishermen and sells them to various New York restaurants for $2.50 per pound. Any clams not sold to the restaurants by the end of the week can be sold to a local soup company for $0.50 per pound. The company can purchase 500, 1,000 or 2,000 pounds.

1. Complete the following payoff table. (2 points per square)

States of Nature (Demand in pounds)

Purchase 500 1,000 2,000

500

1,000

2,000

2. (4 points) Using the Maximax approach, determine how many pounds of clams the Islander Fishing Company should purchase.

Please review the attachment

The Genetics and IVF Institute conducted a clinical trial of the XSORT method designed to increase the probability of conceiving a girl. 257 babies were born to parents using the XSORT method, and 148 of them were girls.(a) What is the best point of the population proportion of girls born to parents

A researcher wished to compare the average amount of time spent in extracurricular activities by high school students in a suburban school district with that in a school district of a large city. The researcher obtained an SRS of 60 high school students in a large suburban school district and found

A published report of a repeated-measures researchstudy includes the following description of thestatistical analysis. The results show significantdifferences among the treatment conditions,F(2, 20) 6.10, p .01.a. How many treatment conditions were compared inthe study?b. How many indi

Assume the heights of women normally distributed with a mean of 63.6 inches and a standard deviation of 2.5 inches. The U.S. Army requires that the heights of women between 58 and 80 inches. If a woman is randomly selected, what is the probability that her height is between 58 and 80 inches?

How many candies should be sampled to obtain a 95% CI of the proportion of blue candies with a 4% margin of error if the known proportion of blue candies is 0.24?

the upper and the lower quartile income of a group of workers are rs 8 and rs 3per day respectively. calculate the quartile deviations and its coefficient?

Problems:

Find the mean, median, and mode for the following sample of scores:

7, 5, 9, 7, 7, 8, 6, 8, 10, 7, 4, 6

Also,

Give a brief description of a real-world example in which one measure of central tendency provides useful information while another measure of central tendency provides meaningless (or even misleading) information. Also explain which of the three measures of central tendency would be appropriate for your example, which would be inappropriate, and why. Then identify what you think is the best measure of variability to use for your example and explain why you believe it to be better than the others.

I have an entire course that I need help with. I have paypal. Can you answer these questions?

Chapter 2-5 of Elementary Statistics has a number of illustrations of Bad Graphs which, of course, need not be just statistical in nature. Find a graph of one of the types shown in the chapter (e.g. bar graph) in current news at an online Web site, give the URL, and discuss whether it is a bad graph.

Please do not take an example from a site that collects bad graphs find your own graph and simply discuss it bearing in mind that your example does not have to be bad.

In a study of the breeding habits of the phoebe, s small grayish-brown bird, an ornithologist watched 15 nests plastered to agricultural barns and found that the number of eggs laid was, respectively 4 3 3 5 8 5 4 2 4 5 4 4 7 4 3. find the mid quartile

An SRS of 100 flights of a large airline (call this airline 1) showed that 64 were on time. An SRS of 100 flights of another large airline (call this airline 2) showed that 80 were on time. Let p1 and p2 be the proportions of all flights that are on time for these two airlines.Is there evidence of a

Question 1 (23)

The data in the accompanying table gives the distances (in km) registered by a sample of company vehicles during a given week.

153

163

146

158

132

173

154

149

144

147

146

178

135

138

140

150

156

157

144

142

140

135

150

147

125

176

145

168

126

135

152

164

165

161

145

138

128

136

142

148

1.1 Using 5 classes of equal width, construct a less-than cumulative frequency distribution of the data in the above table.

Let 120 be the lower limit of the smallest class. (Use absolute frequencies) (7)

1.2 Use the information in 1.1 to draw the less-than ogive. (If possible, use graph paper) (5)

1.3 Use the less-than ogive to determine the mid 70% range in the above data. (5)

1.4 Calculate the coefficient of variation. Comment on the value obtained. (6)

Question 2 (17)

2.1 A major bank is reviewing its credit-card policy with a view toward recalling some of its credit cards. In the past approximately 5% of cardholders have defaulted and the bank has been unable to collect the outstanding balance.

Hence management established a prior probability of 0.05 that any particular cardholder will default. The bank has further found that the probability of missing one or more monthly payments is 0.2 for customers who do not default. Of course, the probability of missing one or more payment by those who do not default is 1.

2.1.1 Given that a customer has missed a monthly payment, calculate the probability that the customer will default. (5)

2.1.2 The bank would like to recall its card if the probability that a customer will default is 0,2.

Should the bank recall its card if a customer misses a monthly payment? Justify your answer. (2)

2.2 A restaurant has three sources of revenue: eat-in orders, take-out orders and the bar. The daily revenue from each source is normally distributed with mean and standard deviation shown in the table below.

2.2.1 Will the total revenue on any day be normally distributed? (1)

2.2.2 Calculate the mean and standard deviation of the total revenue on a particular day. (5)

2.2.3 Calculate the probability that the revenue will exceed $7000 on a particular day. (4)

Mean

Std Deviation

Eat-in

$5780

$142

Take-out

$641

$78

Bar

$712

$72

Course and Assignment Handbook July 2010

MANCOSA MBA Year 1 56

Question 3 (11)

Business schools at certain prestigious universities offer non-degree management-training programs for high-level business executives. The programs supposedly develop executives leadership abilities and help them to advance to higher management positions within two years after program completion.

A management consulting firm wants to test the effectiveness of these programs by investigating the claim of the business schools that executives who undergo the training earn at least $4000 more per annum than comparable executives who do not undergo the special training programs. The firm traces a random sample of 28 top executives who earn, at the time the sample is selected, about the same salaries. Out of this group 13 randomly-selected executives are enrolled in one of the university programs under study. Two years later, the average annual salaries and standard deviations for the two groups are computed. The results are summarized in the table below

Mean Ann Salary

($000)

Standard Deviation

($000)

Trained executives (n = 13)

55

8

Untrained executives (n = 15)

48

6

Conduct a test, at the 5% level of significance, to determine the conclusion that was reached by the consulting firm.

Question 4 (27)

An insurance company reported the number of policy holders who applied to surrender their endowment policies for each quarter from 2007 to 2009. The insurance has been communicating with the policy holders over the past three ears to discourage then from surrendering their policy prior to maturity because of reduced payout on early surrender. The data is given in the table below.

4.1 Plot the pattern of surrendered policies from 2007 to 2009. (If possible, use graph paper)

Does the companys communication with policy holders appear to be working? Justify your answer. (7)

4.2 Calculate the seasonal indices using the ratio to moving average method.

Comment on the seasonal pattern of policy surrenders. (10)

4.3 Derive the least-squares trend equation for the number of surrendered policies per quarter for the period 2007 to 2009.

(7)

4.4 Estimate the number of policies that are likely to be surrendered during the first quarter of 2010 using the seasonal indices and the trend equation. (3)

Apr Jun

(Q1)

July Sept

(Q2)

Oct Dec

(Q3)

Jan Mar

(Q4)

2007

201

185

190

205

2008

184

160

171

182

2009

167

155

163

175

Course and Assignment Handbook July 2010

MANCOSA MBA Year 1 57

Question 5 (22)

A company is introducing a new product. It has the option of setting up a commercial plant now or setting up a pilot plant at present and then setting up a commercial plant later depending on how the product performs. It has been estimated that the present cost of setting up the pilot plant will be $200000 and the cost of setting up a commercial plant will be $2100000. However, when the commercial plant is set up three months later, after observing the performance of the product, it will cost $2500000.

It has also been estimated that that the probability of the product giving a high yield during the pilot stage is 0,9 and the probability of a low yield is 0.1. If the product is introduced commercially, without going through a pilot plant stage, it is expected that it will give a high yield of profits with a probability of 0.7. If the pilot plant does show a high yield then the probability that the commercial plant will also give a high yield is 0.85. However, if the pilot plant gives a low yield, the probability that the commercial plant will also give a high yield is only 0.1. The estimated profits from high yield at the commercial stage are $12250000 and if the yield is low, the company will suffer a loss of $1525000.

1.1 Draw a decision tree depicting the above problem. (8)

1.2 What decision should the company take? Show how you arrived at the answer. (14)

Instructions for Submission of Assignment

1. Start each solution on a new page.

2. A spreadsheet (eg. Microsoft Excel) may be used only for the purposes of setting up tables, drawing of graphs etc. All solutions must be clearly shown through the use of appropriate formulae and substitution.

3. Solutions generated by software packages will not be marked.

4. No marks will be awarded if only the final answers are given. All relevant working must be shown.

5. The assignment must be typed using text font Arial or Times New Roman, 11pt, spacing of 1 lines.

6. It is not necessary to provide references or a bibliography. Number each solution according to the numbering in assignment handbook.

NOTE: This instruction applies only to Quantitative Methods and not to the other modules

The standard deviation of the fuel consumption of a certain automobile is hypothesized to be greater than or equal to 4.3 miles per gallon. A sample of 20 automobiles produced a standard deviation of 2.6 miles per gallon. Is the standard deviation really less than previously thought? Use a=0.05 and

Probability extension: Assuming the outcomes displayed in the tree diagram are all equally likely, what is the probability that you will get a head and a number greater than 4 when you flip a coin and toss a die? (Use 3 decimal places.)

It is the probability tree of flipping a coin and rolling a dice

attached

The following stem and leaf diagram represents the standard Binet IQ scores of students in a college stat course. Given sample mean is x=117.77 and sample deviation is s=11.50, determine how many sample standard deviations the score 151 is from the sample mean. Find number of standard deviations from mean.

A sample of 10 was taken from an in-control process. A variance of 4.2 and a mean of 23.2 were calculated. Determine the 95% confidence

interval on the mean and standard deviation. Explain any potential problems with this analysis.

the science of statistics is of great value to those who understand its proper use comment

attached are the assignments.

12. A sample of n= 20 scores has a mean of m = 6. if one new person with a score of x =27 is added to the sample, what will be the value for the new mean?

16. A population of n = 8 scores has a mean of (its a funny looking u) = 20

If one score is changed from x = 14 to x = 30, what will be the value for the new mean?

22. One sample of n = 20 scores has a mean of M = 50. A second sample has n = 5 scores has a mean of M = 10. If the two samples are combined, what is the mean for the combined sample?

Then:

Give a brief description of a real-world example in which one measure of central tendency provides useful information while another measure of central tendency provides meaningless (or even misleading) information. Also explain which of the three measures of central tendency would be appropriate for your example, which would be inappropriate, and why. Then identify what you think is the best measure of variability to use for your example and explain why you believe it to be better than the others

In a large midwestern university (the class of entering freshmen being on the order of 6000 or more students), an SRS of 100 entering freshmen in 1999 found that 20 finished in the bottom third of their high school class. Admission standards at the university were tightened in 1995. In 2001 an SRS o

This is a business Statistics paper for massey university

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31

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1

50

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0

3

Document Preview:

I am attaching the syllabus to get a quote for the entire course.

The distribution of a sample of the outside diameters of PVC gas pipes approximates a symmetrical, bell-shaped distribution. The arithmetic mean is 14.0 inches, and the standard deviation is 0.1 inches. About 68 percent of the outside diameters lie between what two amounts?13.5 and 14.5 inches13.0 a

A scientist was curious if younger couples with at least one child were becoming more prevalent in urban areas. He decided to see if the mean age of older spouse of couples with at least one child living within the city limits of a large metropolitan area was lower than that of couples with at least

A meteorologist claims that the average of the highest temperature in the United States is 98 degrees. A random sample of 50 cities is selected, and the highest temperatures are recorded. The data are shown At a=0.05, can the claim be rejected? Assume a=7.71

A biologist reports a confidence interval of (2.0,2.4) when estimating the mean height (in centimeters) of a sample of seedlings. What is the estimated margin of

error and the sample mean?

what are the advantages or significance of data editing?

The cost to inspect a credit card statement in a bank is $.075 and correction of a mistake later amounts to $500. What is the break even point in errors per thousand transactions for which percent inspection is no more economical than no inspection?

find the 14 arithmetic means between 5 to 8 and show that their sum is 14 times the A.M. between 5 and 8

Why is it important to spend time performing basic descriptive statistics prior to conducting inferential statistical tests?

Calculate Geometric Mean of the following series: Marks (more than) 70 60 50 40 30 20 No. of students 7 18 40 40 63 70.

4. Write short notes on the following:

iii) Selection of Base Year

5. Briefly comment on the following:

i) All deciles are included in percentiles.

ii) Ratio can not be converted into a proptortion.

iii) Variability itself may be some times used in decisions making.

iv) U-shaped data had two mode.

The company asks you if their belief that the population-mean preferred value is greater than

$510,000 is correct. Perform a hypothesis test to see if there is strong evidence for this.

The weights (in kilograms) of a group of crates being shipped to Panama are 95, 103, 110, 104, 105, 112 and 92. What is the mean deviation?Answer5.43 kg6.25 kg0.53 kg52.50 kg

assignment description is attached

A private college advertized that last year their Freshman students, on average, had a score of 1180 on the college entrance exam Assuming that average refers to the mean, which of the following claims must be true based on this information.More than one statement could be true If none of these stat

Three defective electric tooth brushes were shipped to a drug store by Clean Brush Products along with 17 non defective ones. A) What is the probability the first

two electric toothbrushes sold will be returned because they are defective? B)What is the probability the first 2 brushes sold will not be defective?

During the past six months, the purchasing agent bought:Tons of Coal1,2003,000500Price per Ton$28.50$87.25$88.00What is the weighted arithmetic mean price per ton?Answer$87.25$72.33$68.47$89.18

1. The Mac Burger restaurant chain claims that the waiting time of customers for service is normally distributed, with a mean of 3 minutes and a standard deviation of 1 minute. The quality assurance department found in a sample of 50 customers at the Warren Road MacBurger that the mean waiting time was 2.75 minutes. At the .05 significance level, can we conclude that the mean waiting time is less than 3 minutes?

2. The management of White Industries is considering a new method of assembling its golf cart. The present method requires 42.3 minutes, on the average, to assemble a cart. The mena assembly time for a random sample of 24 carts, using the new method, was 40.6minutes, and the standard deviation of the sample was 2.7 minutes. Using the .10 level of significance, can we conclude that the assembly time using the new method is faster?

Southwest Consulting is a well established company with thousands of employees and they want to estimate the average age of their workers. A sample of 32 employees was taken.Given that the population standard deviation is 12.09 and the sample mean is 43.66. What is the range of values for a 95% conf

please see the attached assignment.

1. what are the reasons for studying statistics?

2. from your readings select a sampling technique of your choice. Describe how the technique can be used to obtain the type of sample. Indicate when the technique may be preferred. List two examples of when the sampling technique may be used.

3.

FINDTHE CRITICAL Z VALUES. NORMAL DISTRIBUTION IS APPLIED. A=0.09; H1 IS P < 0.25 Why are uniform laws like the UCITA and the UETA necessary? Does it make any difference if these uniform laws are not enacted in every state? How should the law be applied to a dispute arising from a deal that involves a party in a state in which the laws are enacted and a party in a state in which they are not enacted? find the crtical z value. normal distribution is applied. a=0.01; h1 is p < 0.11 500 184900 515 164900 518 167510 550 289900 609 239000 612 192779 713 244900 720 179000 720 179000 742 237500 749 241745 780 335000 781 425000 800 339900 831 269000 840 189000 880 299000 937 332000 937 380900 1000 449900 1010 220000 1014 227000 1032 429900 1038 469900 1050 214900 1050 229000 1057 292000 1057 585000 1085 499900 1092 450500 1102 387900 1104 274900 1105 274900 1117 368500 1130 219500 1150 249999 1154 430000 1155 354200 1190 349900 1200 295000 1230 509900 1230 575000 1293 249000 1296 699900 13 Document Preview: The number of days Europeans take each year for vacation is nolmal distributed with a mean of 15.8 days and a standar deviation of 2.2 days .Analize the output to determine what % of Europeans take vacations between 15 and 24 days.X P (Xx) Mean Std dev11 .0146 .9854 15.8 2.215 .3581 .6 A Pathology lab provides the following details of blood test carried out on 100 patients for diabetes: What was the interquartile range of the ages? What was the range of ages? What was the modal age (the mode)? What was the mean age? Age Count Cumulative Count Percent Cumulative Percent <18 53 53 8.0% 8.0% 18 175 228 26.4% 34.4% 19 121 349 18.3% 52.7% 20 110 459 16.6% 69.3% 21 99 558 15.0% 84.3% 22 41 599 6.2% 90.5% 23 25 624 3.8% 94.3% 24 11 635 1.7% 95.9% 25-30 13 648 2.0% 97.9% 31-35 4 652 0.6% 98.5% 36-40 4 656 0.6% 99.1% 41-50 4 660 0.6% 99.7% 51-64 2 662 0.3% 100.0% =65 0 662 0.0% 100.0% Total 662 Given two i.i.d random variables (X, Y ) show that (a) If at least one of X or Y has expectation equal to zero then Cov(X, Y ) = E[XY ]. (b) Now use this to calculate E(X2) when E(X) = 0 (c) Use the definition of covariance to show that Cov(AX + a, BY + b) = AB A? Cov(X, Y ) for constants (A, B, a, b). (d) UsethedefinitionofvariancetoshowthatVar(X+Y)=Var(X)+Var(Y)+2Cov(X,Y) (e) Use (d) to show that the population correlation coefficient is between [?1, 1] Suppose, in a study was conducted to see if receiving speeding violation and car phone use were independent. In this study, 755 drivers were surveyed. Out of 755, 70 had a speeding violation and 685 did not; 305 were car phone users and 450 were not. Car phone user Not a car phone user Total:Received speeding violation 38 32 70 Did not received speeding violation 267 418 685 Total: 305 450 755Use a 5% level of significance, to see if receiving speeding violation is independent of car phone use? Sales person A B C Sample Size 2,5,8 Sample Mean 15,11,10 Sample Variance 16,11,12 5% level of significance, rank the sales person in what order? (note: #s written respectively of A,B, C i couldnt type it in table form but picture it as a chart/table). and its a higher level stats problem. And choices are: 1 )A,B,C 2) Only A at top 3) C,A,B 4) All of them equal level Must show work 1) state hypothesis and identify the claim 2) find critical value(s) 3) compute test value 4) make decision to reject or not reject null hypothesis 5) summarize results If the mean of a distribution is 45, the median is 40 and the standard deviation is 2.5, calculate the skewness for the distribution. This value of Sk is The NJ Bureau of Employment gathered the following sample information on the number of hours unemployed workers spent looking for work last week. Hours Spent Searching Number of Unemployed 0 up to 20 12 20 up to 40 28 40 up to 60 60 60 up to 80 40 80 up to 100 20 (a) Determine the mean. (b) Determine the standard deviation. A random sample of 25 books has a variance of 81 pages. Find the 95 % confidence interval of the true population variance need help writing a paper due tomorrow on customer service this paper is a detailed and comprehensive review of statistical research performed by others on a business related topic of customer service or quality control. . The paper should be constructed around peer-reviewed articles related to the topic, and it should include both descriptive and inferential statistic Ricardos Widgets makes a critical part for a popular brand of cell phones. Recently an analysis of four observations per shift for 15 shifts revealed an overall mean for the part size of 0.1113 cm with an average range of 0.0094 cm. If the specifications for the product are 0.110 cm 0.015 cm, compute the following: a. The process capability ratio, Cp. (3 points) Will have more data as soon as instructor posts. Statistics Project For this assignment, you will implement a project involving statistical procedures. The topic may be something that is related to your work, a hobby, or something you found interesting. If you choose, you may use the example described below. Document Preview: 8) A sample of 2,000 licensed drivers revealed the following number of speeding violations. 0 violations for 1,910 drivers. 1 Violations for 46 drivers. 2 violations for 18 drivers. 3 violations for 12 drivers. 4 violations for 9 drivers. 5 or more violations for 5 drivers. Which totals out to 2,000. A) What is the experiment? B) List one possible event C) What is the probability that a particular driver had exactly 2 speeding violations? D) What concept of probability does this illustrate? 1. find P ( -1.32< Z =1.62) 2. the result of a test indicates the scores are normally distributed with N=100.0 and d = 16.0 a) find the 80th percentile b) determine what range of IQ scores make up the middle 86% of the population. _ 3. at a 10 minute oil change facility the mean ( U X ) time for an oil change is 10.3 minutes and standard deviation ( d ) is known to be 3.0 minutes. What is the probability that for a random sample n=40 oil changes, _ the sample mean time ( X) is greater than 10 minutes. 4. a recent survey indicated that college graduates tend to be avid readers of mystery novels. let p denote the actual proportion of college graduates who are avid readers of mystery novels. consider a sample proportion p that is based on a random sample of 225 college graduates a) if p equals 0.6, does p have approximately a normal distribution. b) find P ( p= hat < 0.7) A researcher believes that college students spend less time participating in extra-curricular activites than they did ten years ago. An SRS of 100 college students found that in the past year the average number of hours spent per semester in extracurricular activities was x = 107 hours, with standar The following table gives the frequency distribution of ages for all 50 employees of a company. Age Number of Employees 18 to 30 12 31 to 43 19 44 to 56 14 57 to 69 5 a. Prepare a cumulative frequency distribution table. b. Calculate the cumulative relative frequencies and cumulative percentages for all classes. c. What percentage of employees of this company are 44 years of age or older? d. Draw an ogive for the cumulative percentage distribution. e. Using the ogive, find the percentage of employees who are age 40 or younger The number of computers sold per day by Dans Computer Work is defined by the following probability distribution: X- 0,1,2,3,4,5,6 P(x)- 0.05, 0.10, 0.20, 0.20, 0.15, 0.10 A. P(3 B. P(x>3)=?

C. P(x

D. P(2

I have an assignment that I need help on by Monday November 15 at 3:00 PM central standard time. I sent this request last week and no one was able to help me. Please see the attatched problems.

Give full answer.

For question #2 calculations must be done in Minitab

Attachments:

SU-PSY2008-W1.MTW

Probability

A random sample of 1400 Internet users was selected from the records of a large Internet Provider and asked whether they would use the Internet or the library to obtain information about health issues. Of these 872 said they would use the Internet.If the Internet Provider wanted an estimate of the p

A normal population has a mean of 21.0 and a standard deviation of 6.0.

What proportion of the population is less than 17.0? (Round z-score computation to 2 decimal places and

your final answer to 4 decimal places.)

Question 1: Use the following eight Scriptures and attach probabilities to each.

A business wants to estimate the true mean annual income of its customers. The business needs to be within $500 of the true mean. The business estimates the true population standard deviation is around $2,300. If the confidence level is 95%, find the required sample size in order to meet the desired accuracy.

What problems/limitations could prevent a truly random sampling and how can they be prevented?

The Marshall Corporation has developed a new study course to increase SAT scores. To test the validity of the new course, Marshall Corp. recruited 20 volunteers to take part in a study. The 20 participants initially took the SAT exam. Then, the 20 participants enrolled in the new study course for 6

show that the probability of the union of events A and B can be written as follows: P(AUB)=P(A) + P(B) [1-P(A|B)]

What is the formula in finding the population standard deviation? population variance? Please indicate an example of the ff. topics. Thank you very much!

Week Six Homework Solutions Queuing Theory

what are the advantages or significance of data editing?

The only Internet Resource about Statistics Recommended by Encyclopedia Britannica

StatSoft has freely provided the Electronic Statistics Textbook as a public service for more than 12 years now.

This Textbook offers training in the understanding and application of statistics. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses and covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics, credit scoring, forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others.

The Electronic Textbook begins with an overview of the relevant elementary (pivotal) concepts and continues with a more in depth exploration of specific areas of statistics, organized by modules, accessible by buttons, representing classes of analytic techniques. A glossary of statistical terms and a list of references for further study are included.

Proper citation

(Electronic Version): StatSoft, Inc. (2010). Electronic Statistics Textbook. Tulsa, OK: StatSoft. WEB: http://www.statsoft.com/textbook/.

(Printed Version): Hill, T. & Lewicki, P. (2007). STATISTICS Methods and Applications. StatSoft, Tulsa, OK.

Can you assist?

In a regional spelling bee, the 8 finalists consist of 3 boys and 5 girls. Find the number of sample point the sample space S for the number of possible orders at the conclusion of the contest for:all 8 finalist and the first three positions

In a Poisson distribution U=4. A) What is the probability that X=2? B) What is the probability that X is 2?

The weights of a sample of five boxes being sent by FedEx are: 48, 24, 28, 12, and 40. (a) Compute the range. (b) Compute the mean deviation. (c) Compute the

standard deviation.

Could you help me?

1

For 25 observations on price(x) supply (y), the following data were obtained It was discovered later on that two pairs of observations()x,y) were noted (8,10) and(5,8) while correct values were (10,12) and (3,6) respectivly.Determine the corrected values and find the two regression coefficients

A young boy asks his mother to get five game-boy cartridges from his collection of 10 arcade and 5 sports games. How many ways are there his mother gets 3 arcade and 2 sport games respectively?

Event A occurs with probability 0.4. The conditional probability that A occurs given that Be occurs is .5, while the conditional probability that A occurs given that B does not occur is .2. What is the conditional probability that B occurs given that A occurs?

For a particular sample of 58 scores on a psychology exam, the following results were obtained.

First quartile = 52 Third quartile = 84 Standard deviation = 10 Range = 66

Mean = 79 Median = 78 Mode = 81 Midrange = 65

Answer each of the following:

I. What score was earned by more students than any other score? Why?

II. What was the highest score earned on the exam?

III. What was the lowest score earned on the exam?

IV. According to Chebyshevs Theorem, how many students scored between 59 and 99?

V. Assume that the distribution is normal. Based on the Empirical Rule, how many students scored between 69 and 89?

I only need help with question #1 a

find the critical value

Define Binomial, Poisson and Normal distribution?

2. Four cards are drwawn at random from a pack of 52 playing cards. find probabilty of getting

a. all the four cards of the same number

b. all the four cards of the same suit

c. one card from each suit

d. two red cards and two black cards

e. all cards of the same colur

f. all face cards

IN TERMS OF THE MEAN AND STANDARD DEVIATION, WHAT DOES IT MEAN TO SAY THAT A PARTICULAR VALUE OF X HAS A Z SCORE OF 3 . 5 ?

Isle Royale, an island in Lake Superior, has provided an important study site of wolves and their prey. Of special interest is the study of the number of moose killed by wolves. In the period from 1958 to 1974, there were 296 moose deaths identified as wolf kills. The age distribution of the kills is as follows.

Age of Moose in Years

Number Killed by Wolves

Calf (0.5 yr)1-56-1011-1516-20

1064772674

(a) For each age group, compute the probability that a moose in that age group is killed by a wolf. (Use 3 decimal places.)

0.5

1-5

6-10

11-15

16-20

(b) Consider all ages in a class equal to the class midpoint. Find the expected age of a moose killed by a wolf and the standard deviation of the ages. (Use 2 decimal places.)

A stationary store has decided to accept a large shipment of ball-point pens if an inspection of17 randomly selected pens yields no more than two defective pens.(a) Find the probability that this shipment is accepted if 5% of the total shipment is defective. (Use 3 decimal places.) (b) Find the probability that this shipment is not accepted if 15% of the total shipment is defective. (Use 3 decimal places.)

Consumer Reports rated airlines and found that76% of the flights involved in the study arrived on time (that is, within 15 minutes of scheduled arrival time). Assuming that the on-time arrival rate is representative of the entire commercial airline industry, consider a random sample of211 flights. (Round your answers to two decimal places.)What is the expected number that will arrive on timeWhat is the standard deviation of this distribution?

The Orchard Cafe has found that about10% of the diners who make reservations dont show up. If79 reservations have been made, how many diners can be expected to show up? Find the standard deviation of this distribution. (Use 2 decimal places.)

Consumer Banker Association released a report showing the lengths of automobile leases for new automobiles. The results are as follows.

Lease Length in Months

Percent of Leases

13-2425-3637-4849-60More than 60

14.5%37.9%25.3%21.8%0.5%

(a) Use the midpoint of each class, and call the midpoint of the last class 66.5 months, for purposes of computing the expected lease term. Also find the standard deviation of the distribution. (Use 2 decimal places.)

According toHarpers Index,50% of all federal inmates are serving time for drug dealing. A random sample of17 federal inmates is selected.(a) What is the probability that 13 or more are serving time for drug dealing? (Use 3 decimal places.) (b) What is the probability that 6 or fewer are serving time for drug dealing? (Use 3 decimal places.) (c) What is the expected number of inmates serving time for drug dealing? (Use 1 decimal place.)

State Farm Insurance studies show that in Colorado,50% of the auto insurance claims submitted for property damage were submitted by males under 25 years of age. Suppose9 property damage claims involving automobiles are selected at random.(a) Let r be the number of claims made by males under age 25. Make a histogram for the r-distribution probabilities.

(b) What is the probability that seven or more claims are made by males under age 25? (Use 3 decimal places.) (c) What is the expected number of claims made by males under age 25? What is the standard deviation of the r-probability distribution? (Use 2 decimal places.)

. A worldwide organization of academics claims that the mean IQ score of its members is , with a standard deviation of . A randomly selected group of members of this organization is tested, and the results reveal that the mean IQ score in this sample is . If the organizations claim is correct, what is the probability of having a sample mean of or less for a random sample of this size?

Loaded dice? You might be suspecting that you have a loaded die. To test this assumption, you roll the die 300 times and observe the frequency of occurrence of each of the faces:

Face value Occurrence1 42

2 55

3 38

4 57

5 64

6 44

15. Determine the 95% Confidence Interval for the following data set. Show work77 61 83 14 8288 81 63 78 6211 71 73 58 1266 51 93 68 5255 91 13 88 72

Need Help

Eleven employees were put under the care of the company nurse because of high cholesterol readings. The nurse lectured them on the dangers of this condition and put them on a new diet. Shown are the cholesterol readings of the 11 employees both before the new diet and one month after use of the diet began. At 5% level of significance, test the claim that the new diet is effective in lowering cholesterol. Assume differences in cholesterol readings are normally distributed in the population.

A student is taking two courses, History and Math. The probability that the student will pass the history course is .60, and the probability of passing the math

class is .70. The probability of passing both is .50. What is the probability of passing at least one?

pls give me a quote for the Statistics SPSS. The is a four page using the information provided in SPSS data set 8

Question 1 Construct a 90% confidence interval for the difference between the two population means. Assume that the two samples are independent and that they are

randomly selected: When 59 American and 47 European golf pros played a round of golf, the following information was gathered: Sample Mean Sample Standard Deviation

American A C European B D A = 74.80 B = 68.01 C = 2.45 D = 3.25 Answer A. (5.85, 7.73) B. (-7.73, -5.85) C. (5.67, 7.91) D. (5.88, 7.70)

A particular telephone number is used to receive both voice calls and fax messages. Suppose that 25% of the incoming calls involve fax messages, and consider a sample of 25 incoming calls. (Round your answers to three decimal places.)

(a) What is the probability that at most 4 of the calls involve a

CAN ANY OF YOU COMPLETE IT WITHIN 4.5 HRS

The distribution of the annual incomes of a group of middle management employees approximated a normal distribution with a mean of $37,200 and a standard deviation of $800. About 68 percent of the incomes lie between what two incomes?$30,000 and $40,000$36,400 and $38,000$34,800 and $39,600$35,600 a

Hypothesis Tests (One mean)

The manufacturer of batteries claims its latest product lasts for at least 56 hours. An independent testing agency tested 64 batteries to substantiate the claim made by the company. The sample mean was 55 hours with a sample standard deviation of 4 hours.

Using the .05 level of significance and the five-step hypothesis testing procedure, determine if there is reason to reject the claim made by the manufacturer.

Hypothesis Tests (Two means)

Now assume that you investigate if batteries bought at Wal-Mart and batteries bought at Kmart have the same average life. You collect a sample from each of these chains. The sample of the Wal-Mart batteries has a mean of 55 hours, a standard deviation of 3 hours, and a sample size of 49. The sample of the Kmart batteries has a mean of 54 hours, a standard deviation of 4, and a sample size of 64.

Using a significance level of 0.1, can you conclude that batteries from either store last for the same number of hours?

What is the age distribution of promotion-sensitive shoppers? Asupermarket super shopper is defined as a shopper for whom at least 70% of the items purchased were on sale or purchased with a coupon.

Age range, years

18-28

29-39

40-50

51-61

62 and over

Midpoint x

23

34

45

56

67

Percent of super shoppers

5%

41%

26%

11%

17%

For the 62-and-over group, use the midpoint 67 years.(a) Using the age midpoints x and the percentage of super shoppers, do we have a valid probability distribution? Explain.No. The events are indistinct and the probabilities sum to more than 1.Yes. The events are indistinct and the probabilities sum to less than 1.Yes. The events are distinct and the probabilities sum to 1.Yes. The events are distinct and the probabilities do not sum to 1.No. The events are distinct and the probabilities sum to 1.(b) Use a histogram to graph the probability distribution of part (a).

(c) Compute the expected age of a super shopper. (Round your answer to two decimal places.) = yr(d) Compute the standard deviation for ages of super shoppers. (Round your answer to two decimal places.) = yr

What was the age distribution of nurses in Great Britain at the time of Florence Nightingale? Suppose we have the following information.Note: In 1851 there were 25,466 nurses in Great Britain.

Age range (yr)

20-29

30-39

40-49

50-59

60-69

70-79

80+

Midpoint x

24.5

34.5

44.5

54.5

64.5

74.5

84.5

Percent of nurses

5.3%

9.8%

19.3%

29.2%

25.0%

9.6%

1.8%

(a) Using the age midpoints x and the percent of nurses, do we have a valid probability distribution? Explain.Yes. The events are distinct and the probabilities sum to 1.No. The events are indistinct and the probabilities do not sum to 1.Yes. The events are distinct and the probabilities do not sum to 1.No. The events are indistinct and the probabilities sum to 1.(b) Use a histogram to graph the probability distribution in part (a).

(c) Find the probability that a British nurse selected at random in 1851 would be 60 years of age or older. (Round your answer to three decimal places.) (d) Compute the expected age of a British nurse contemporary to Florence Nightingale. (Round your answer to two decimal places.) yr(e) Compute the standard deviation for ages of nurses shown in the distribution. (Round your answer to two decimal places.) yr

USA Today reported that approximately 25% of all state prison inmates released on parole become repeat offenders while on parole. Suppose the parole board is examining five prisoners up for parole. Letx = number of prisoners out of five on parole who become repeat offenders.

x

0

1

2

3

4

5

P(x)

0.208

0.372

0.230

0.170

0.019

0.001

(a) Find the probability that one or more of the five parolees will be repeat offenders. (Round your answer to three decimal places.) How does this number relate to the probability that none of the parolees will be repeat offenders?This is the complement of the probability of no repeat offenders.This is five times the probability of no repeat offenders.These probabilities are the same.These probabilities are not related to each other.This is twice the probability of no repeat offenders.(b) Find the probability that two or more of the five parolees will be repeat offenders. (Round your answer to three decimal places.) (c) Find the probability that four or more of the five parolees will be repeat offenders. (Round your answer to three decimal places.) (d) Compute , the expected number of repeat offenders out of five. (Round your answer to three decimal places.) = prisoners(e) Compute , the standard deviation of the number of repeat offenders out of five. (Round your answer to two decimal places.) = prisoners

The college student senate is sponsoring a spring break Caribbean cruise raffle. The proceeds are to be donated to the Samaritan Center for the Homeless. A local travel agency donated the cruise, valued at $2000. The students sold2034 raffle tickets at $5 per ticket.(a) Kevin bought fourteen tickets. What is the probability that Kevin will win the spring break cruise to the Caribbean? (Round your answer to five decimal places.) What is the probability that Kevin will not win the cruise? (Round your answer to five decimal places.) (b) Expected earnings can be found by multiplying the value of the cruise by the probability that Kevin will win. What are Kevins expected earnings? (Round your answer to two decimal places.)$ Is this more or less than the amount Kevin paid for the fourteen tickets? Select less more How much did Kevin effectively contriute to the Samaritan Center for the Homeless? (Round your answer to two decimal places.)$

Sara is a 60-year-old Anglo female in reasonably good health. She wants to take out a $50,000 term (that is, straight death benefit) life insurance policy until she is 65. The policy will expire on her 65th birthday. The probability of death in a given year is provided by the Vital Statistics Section of theStatistical Abstract of the United States (116th Edition).

x = age

60

61

62

63

64

P(death at this age)

0.00634

0.00809

0.00875

0.00972

0.01126

Sara is applying to Big Rock Insurance Company for her term insurance policy.(a) What is the probability that Sara will die in her 60th year? (Use 5 decimal places.) Using this probability and the $50,000 death benefit, what is the expected cost to Big Rock Insurance?$ (b) Repeat part (a) for ages 61, 62, 63, and 64.

Age

Expected Cost

61

$

62

$

63

$

64

$

What would be the total expected cost to Big Rock Insurance over the years 60 through 64?$ (c) If Big Rock Insurance wants to make a profit of $700 above the expected total cost paid out for Saras death, how much should it charge for the policy?$ (d) If Big Rock Insurance Company charges $5000 for the policy, how much profit does the company expect to make?$

Find Karl Pearsons correlation co-efficient between X and Y fron the following data

X: 78 89 97 69 59 79 61 61

Y: 125 137 156 112 107 136 123 108

A store has put on a demonstration and claims that the results show that their psychics are The Boss. In 266 trials of their ability to correctly sense in which of two pockets the hidden Tarot card was in , they got it right 212 times.What is the best point estimate for the proportion of times rig

Need help, must answer questions and complete before 11pm Oct, 11,2013.

Document Preview:

A study by the Information Technology department at WPU revealed company employees receive an average of four e-mails per hour. Assume the arrival of these e-mails

is approximated by the Poisson distribution. (a) What is the probability , Prof. Smith, received exactly one e-mail between 4pm and 5pm yesterday? (b) What is the

probability he did not receive any e-mail during this period? (c) What is the probability he received ten or more e-mails during the same period?

A quality control manager found that 30% of work related problems occurred on Mondays, and that 20% occurred in the last hour of the days shift. It was also found

that 4% of worker related problems occurred in the last hour of MOndays shift What is the problbility that a worker related problem will occurred on a monday but

not in the last hour of the dayss shift?

Historically, the pass rate on the state bar exam for attorneys in a specific state has been 55.7%. Since giving the last exam, the state has replaced an old exam training program with a new one. Following the new training program, a random sample of 235 prospective attorneys was selected, and among

Consider a binomial distribution with6 trials. Look at abinomial probability distribution table showing binomial probabilities for various values ofp, the probability of success on a single trial.(a) For what value of p is the distribution symmetric?p = What is the expected value of this distribution?

The quality-control inspector of a production plant will reject a batch of syringes if two or more defective syringes are found in a random sample ofseven syringes taken from the batch. Suppose the batch contains5% defective syringes.(a) Make a histogram showing the probabilities of r = 0, 1, 2, 3, , 6 and 7 defective syringes in a random sample of sevensyringes.

(b) Find . (Enter your answer to two decimal places.) = syringesWhat is the expected number of defective syringes the inspector will find? (Enter your answer to two decimal places.) syringes(c) What is the probability that the batch will be accepted? (Round your answer to three decimal places.) (d) Find . (Round your answer to three decimal places.) = syringes

Does thekid factor make a difference? If you are talking photography, the answer may be yes!

Ages of children in household, years

Under 2

None under 21

Percent of U.S. households that buy film

70%

50%

Let us say you are a market research person who interviews a random sample of10 households.(a) Suppose you interview 10 households with children under the age of 2 years. Let r represent the number of such households that buy film. Make a histogram showing the probability distribution of r for r = 0 through r = 10.

Find the mean and standard deviation of this probability distribution. (Round your answers to two decimal places.)

= households

= households

(b) Suppose that the 10 households are chosen to have no children under 21 years old. Let r represent the number of such households that buy film. Make a histogram showing the probability distribution of r for r = 0 through r = 10.

Find the mean and standard deviation of this probability distribution. (Round your answers to two decimal places.)

= households

= households

(c) Compare the distributions in parts (a) and (b). You are designing TV ads to sell film. Could you justify featuring ads of parents taking pictures of toddlers? Explain your answer.Yes. It appears that households with no children under 21 are more likely to buy film.No. It appears that households with children under 2 are more likely to buy film.No. It appears that households with no children under 21 are more likely to buy film.Yes. It appears that households with children under 2 are more likely to buy film.

A store has determined that daily demand for eggs has a bell-shaped distribution, with a mean of 55 cartons and a standard deviation of six cartons. If the supermarket begins each morning with a stock of 61 cartons of eggs, approximately what percentage of days will there be a surplus of eggs?A. 16%

I need help finding te means of a distribution?

I have the sample sizes of size 16. n=16;3000 samples.

The average score of all golfers for a particular course has a mean of 73 and a standard deviation of 3. Suppose 36 golfers played the course today. Find the probability that the average score of the 36 golfers exceeded 74.A.0.1293B.0.3707C.0.4772D.0.0228

choose any frequency distribution and compute median and mode.verify the values of median and mode.verify the values graphically

Required Reading:

Discovering Statistics Using SPSS: Preface, How to Use This Book, Chapters 11, 12, 13, 15, 16

Self-Tests

Smart Alexs Quizzes

SPSS Data Sets:

Activity 6.sav

Activity 5a.sav

Activty 5b.sav

Activty 5c.sav

Education.sav

Gss.sav

Optional Resources:

Interactive Multiple Choice Questions

Flashcards

Assignment 8 Signature Assignment

4Signature Assignment

For the final activity, please thoroughly answer each of the questions below. Your grade on this activity will be based on accuracy and comprehensiveness. Your paper should be between 3500-4200 words using APA formatting.

Review the file education.sav. Using the data contained in this 500 sample data set, synthesize an integrated understanding about education in four different areas. In this assignment, you will need to examine the data, determine the appropriate test method being sure that the conditions required for that method have been met, perform the analysis, then interpret the results. Synthesize your findings into an integrated report. Be sure to support your position with data and the appropriate statistical tests as needed. Locate two peer review journal articles that deal with each question; compare and contrast your findings with the peer review research. Prepare a paper suitable for submission to a non-statistician academic conference on adult education using graphs, tables, and figures as necessary while still maintaining appropriate academic rigor. Place all relevant statistical output in an appendix.

1. What is the relationship, if any between education and gender? Discuss any differences that may exist and describe the characteristics of the sample.

2. What is the relationship, if any, between parental education and the education of the respondent? If a relationship exists, which parent has the strongest effect on the educational level of the respondent?

3. Is there a linear relationship between age and education, and if so, how strong is that relationship? Is it possible to predict educational level based on age? If so, what limitations exist for the developed method?

4. What is the relationship of marital status on education? Do singles or married persons tend to be more highly educated?

Your writing should demonstrate thoughtful consideration of the ideas and concepts that are presented in the course and provide new thoughts and insights relating directly to this topic. Responses should reflect doctoral-level writing standards and have no spelling, grammar, or syntax errors.

Submit your paper in the Course Work area of the Activity screen.

I. Research Scenario:

An organization wants to know if participants with

varying levels of expertise (professionals, paraprofessionals, and

nonprofessionals) improve their knowledge after completing a training

program.

The organization collected demographic information:

gender, age, type of training (professional, paraprofessional, or

nonprofessional), location of the worksite (on-site or off-site) and

years of experience.

A pre-training test of knowledge, a training program, and

post-training test of knowledge was developed. Participants were

tested, then participated in the three-week training program, and then

were tested again.

The dataset also includes (1) a measure of participant confidence in knowledge and (2) a certification exam score.

The data are discipline-neutral. Therefore, part of your

final project is to create a context for the research that is associated

with your discipline or area of interest (e.g., training to assess

mental health status; training to work with special education children;

training to become a technician or consultant).

II. Codebook

Variable Information

Variable

Label

Measurement Scale

Catagory Name

ID

N/A

N/A

N/A

Gender

Gender

Nominal

1 = Male2 = Female

age

Age in Years

Ratio

qualification

Professional Qualification

Nominal

1 = Professional 2 = Paraprofessional 3 = Nonprofessional

worksite

Location of Work

Nominal

1 = On-Site2 = Off-Site

knowledge1

Level of knowledge before Training

Interval

N/A

knowledge2

Level of knowledge after Training

Interval

N/A

years

Years of Experience

Ratio

N/A

confidence

Confidence in knowledge

Interval

N/A

exam

Certification in knowledge

Interval

N/A

III. Instructions

OverviewYour task is to review the dataset, formulate a context, and

then use your knowledge of statistics to answer the research questions

and test hypotheses that will help the organization evaluate the

effectiveness of the program.

Part I. Create your context.

Using the research scenario and variables identified in

the codebook, create a story that describes the purpose and focus of

the study. In a few paragraphs describe the intent of your investigation

in the form of a problem background and purpose statement.

Part II. Describe your sample.

Generate frequency tables and bar charts for the nominal

variables. Generate and interpret descriptive statistics of central

tendency, variability, skewness, and kurtosis for the continuous (scale)

variables. Generate frequency tables and histograms with the normal

curve superimposed for each scale variable. Label your tables and graphs

according to APA format. Conclude with a paragraph summarizing the

demographic characteristics of this sample.

Gender (nominal)

Age (scale)

Qualification (nominal)

Worksite (nominal)

Knowledge1 (scale)

Knowledge2 (scale)

Years (scale)

Confidence (scale)

Exam (scale)

Part III. Describe relationships among the variables.

Select the variables that are measured on interval or

ratio scales. Create a correlation matrix. Label the table according to

APA format. Identify and discuss the strongest and weakest

correlations.

Part IV. Answer any FOURof the nine

following research questions. Clearly identify which question(s) you

have selected to answer by writing the number associated with the

question (1-9) before each answer. Make sure to select four questions

that must be answered by 4 DIFFERENTtests. For example. One t-test, one ANOVA, one regression and one chi-square; NOT a single sample t-test, independent sample t-test and paired sample t-test as these all fall under t-test.

Based on the research scenario and the data, restate the

research question, identify the Independent and Dependent Variable(s),

formulate the hypothesis, conduct an analysis, and interpret the

results for each of the following. Please use the 7 step hypothesis

testing model for each analysis, including an APA-style conclusion

statement summarizing the findings, interpreting the results and

answering the research question.

Is there a significant difference in knowledge between on-site and off-site workers before they take the training?

Is there a significant increase in knowledge as a result of the training?

Do participants of different classifications

(professional, paraprofessional, and nonprofessional) perform

differently on the certification exam? Which group performs best?

What are the effects of gender and worksite location (on- or off-site) on level of confidence? In other words:

Is there a gender difference in confidence?

Does type of worksite experience affect confidence?

Is there an interaction between gender and worksite in their effect on confidence?

After controlling for prior knowledge, is there a

difference between professionals, paraprofessionals, and

non-professionals in knowledge after the training?

Does age predict performance on the certification exam?

In addition to age, does confidence improve the ability to predict performance on the certification exam?

Does the distribution of the classifications of

participants (professional, paraprofessional, and nonprofessional)

differ than what one would expect by chance?

Does the distribution of the classifications

(professional, paraprofessional, and nonprofessional) differ from the

State data reported as 15%, 25% and 60%?

Part V. Summarize your findings.

Synthesize the results of your five analyses. Include a

brief summary of the sample characteristics and the major findings.

Interpret the findings so that the organizations leaders will have an

understanding of the similarities and differences in knowledge, and how

effective the training program is in improving knowledge.

Attachments:

R7031Bfinal.sav

It is a lab assigment for Stat243 on excel

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-What is the difference between independent and conditional probability?

-What are mutually exclusive events?

-What is the differences in observational studies and experiments?

-What formula do you use to find the z-score?

-What does AUB or A intersection B mean?

In a 2003 survey of 670 college students, 164 said they used illegal drugs. In a more recent survey of 1045 college students, 204 said they used illegal drugs. Use a 0.01 significance level to test the claim that the proportion of college students using illegal drugs has decreased since 2003. QUESTI

here

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Statistics

DATA

Date

AAPL

IBM

GE

S&P

?1?/?2?/?2008

1447.16

34.20

99.39

180.05

?1?/?7?/?2008

1416.18

33.37

95.99

172.69

?1?/?14?/?2008

1416.25

32.56

101.62

161.36

?1?/?22?/?2008

1310.50

32.26

102.72

130.01

?1?/?28?/?2008

1353.96

34.31

107.20

133.75

?2?/?4?/?2008

1380.82

32.11

101.88

125.48

?2?/?11?/?2008

1339.13

32.61

104.73

124.63

?2?/?19?/?2008

1348.78

32.12

106.62

119.46

?2?/?25?/?2008

1371.80

31.73

112.33

125.02

?3?/?3?/?2008

1331.34

30.86

112.41

122.25

?3?/?10?/?2008

1273.37

32.38

113.68

126.61

?3?/?17?/?2008

1276.60

35.90

116.74

133.

Please help me solve this.

Jim is in the 23rd percentile rank and Jessica is in the 59th percentile rank. The variable is age and not at all normal. Is it possible to tell what proportion of people are older than Jim but younger than Jessica? If so, please calculate the number. If not, explain why.

A sample space consists of 174 separate events that are equally likely. What is the probability of each?

9.3

If you use a 0.10 level of significance in a (two-tail) hypothesis test, what is your decision rule for rejecting a null hypothesis that the population mean is 500 if you use the Z test?

9.13

Do students at your school study more than, less than, or about the same as students at other business schools? BusinessWeek reported that at the top 50 business schools, students studied an average of 14.6 hours per week (data extracted from Cracking the Books, Special Report/Online Extra,

http://www.businessweek.comwww.businessweek.com, March 19, 2007).

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Automobiles arrive at the Elkhart exit of the Indiana Toll Road at the rate of two per minute. The distribution of arrivals approximates a Poisson distribution. A)

What is the probability that no automobiles arrive in a particular minute? B) What is the probability that at least one automobile arrives during a particular

minute?

Take home test. really needs to be elaborated and broken down so that i could understand it and explain it to the professor

Attachments:

homework_7_12.pdf

Tasha kept track of the miles she was able to drive versus the gallons of gas in her cars fuel tank. During this time, she always filled her tank completely when she got gas. After filling her tank eight times, she plotted the miles driven on the x-axis and the gallons on the y-axis.

If she were to create a scatterplot of her data, the direction of the association would be (A) __________ (positive, negative, near zero). The strength of the association would be (B) __________ (strong, weak).

Statistics help- Normal Curve, Standardization, and z scores. Please only respond if you truly know statistics. This is introductory and I need you to show all work in order to learn hpw t do these problems. Six problems, Attached documents from chapter with problems #s 32, 34, 36, 38. 40, 42

Attachments:

chapter_homew.pdf

Dateline: Saturday

3 pages 1.5 spacing. Ms Word.

A manufacturer of MP3 players surveyed one hundred retail stores in each of the firm sales regions. An analyst noticed that in the South Atlantic region the average retail price was $165(mean) and the standard deviation was $30.However, in the Mid-Atlantic region the mean price was $170, with standard deviation of $15. What do these statistics tell about the two sales region?

An applicant has applied for positions at Company A and Company B. The probability of getting an offer from Company A is 0.4, and the probability of getting an offer from Company B is 0.3. Assuming that the two job offers are independent of each other, what is the probability thatc. the applicant wi

The weekly mean income of a group of executives is $1000 and the standard deviation of this group is $100. The distribution is normal. What percent of the executives have an income of $925 or less?About 15%About 85%About 50%About 23%

hello i need it done by tomorrow 100% correct solution required.

thanx

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Please find attached is my assignment.

Can you please send me as soon as possible

Determine whether the following probability experiment represents a binomial experiment and explain the reason for your answer. An experimental drug is administered to 50 randomly selected individual, with the number if individuals responding favorably recorded.

Accounting Horizons published a 1998 study in which corporate executives reported the number of times each year they held audit committee meetings with the chief internal auditor of the corporation. The raw data are shown below: (Points 1)

0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5 5

a. Construct a frequency table that shows relative frequencies (in percentages) and cumulative relative frequencies (in percentages).

b. Construct a relative frequency histogram and a cumulative frequency histogram for these data with the proper title and labels for each axis.

c. 3 or less meetings are held for approximately what percentage of time?

C.I : 0-10 10-20 20-30 30-40 40-50 50-60 60-70

F : 3 12 14 17 18 6

PROBLEM 1Kathleen Vohs of the University of Minnesota and her coworkers carried out several randomized comparative experiments on the effects of thinking about money. Here s part of one such experiment. Ask student subject to unscramble 30 sets of five words to make a meaningful phrase from four of the five words. The control group unscrambled phrases like cold it desk outside is into it is cold outside. The treatment group unscrambled phrases that lead to thinking about money, turning high salary desk paying into a high-paying salary. Then each subject worked a hard puzzle, knowing that they could ask for help. Here are the times in seconds until subjects asked for help:

A lending institution supplied the following data on loan approvals by four loan officers. Use a =0.5 and test to determine whether the loan approval decision is independent of the loan officer reviewing the loan application.Loan officer Approved RejectedMiller 24 16McMahon 17 13Games 35 15Runk 11 9

A department store is holding a drawing to give free shopping spree to two lucky customers. There are 16 customers who have entered the drawing: 6 live in the town of Gaston, 4 live in Pike, and 6 live in Wells. In the drawing, the first customer will be selected at random and then the second custom

. The U.S Dairy industry wants to estimate the mean yearly milk consumption. A sample of 16 people reveals the mean yearly consumption to be 60 gallons with a

standard deviation of 20 gallons. A) What is the value of the population mean? What is the best estimate of this value? B) Explain why we need to use the t

distribution. What assumption do you need to make? C) For a 90% confidence interval, what is the value of t? D) Develop the 90% confidence interval for the

population mean is 63 gallons? E) Would it be reasonable to conclude that the population mean is 63 gallons?

PROBLEM 2A company hopes to improve customer satisfaction, setting as a goal less than 5% negative comments . A random survey of 350 customers found only 10 with complaints. Does this provide evidence that the company has reached its goal? Use a 5% level of significance.

I have 6 things to do today. I have to run,drive,sleep,swim,take 15 min break,take 30 min break. If I cant start or stop day with a break, how many unique schedules can I have?

A new medication is supposed to significantly lower cholesterol levels in patients with moderate to high cholesterol. A test group of 12 patients receive the new medication, while a control group of 10 patients are given an older medication. The amount by which each patients cholesterol level is re

The following statistics were found using the 23 gas prices submitted for the project.n = 23x = $3.25s = 0.11In this case the population standard deviation is unknowna.What is the point estimate of the population mean?b.What is the point estimate of the population standard deviation?c.What are

Statistics effects everybody and touches life at many points. It is both a science and art. Comment

A short quiz has two true/false questions and one multiple choice question with four choices. A student guesses at each question. Assuming the choices are all equally likely, what is the probability that the student gets all three correct?

Week 9, Chapter 9

In televisions early years, most commercials were 60 seconds long. Now, however, commercials can be any length. The objective of commercials remains the same to have as many viewers as possible remember the product in a favorable way and eventually buy it. In an experiment to determine how the length of a commercial is related to peoples memory of it, 60 randomly selected people were asked to watch a 1-hour television program. In the middle of the show, a commercial advertising a brand of toothpaste appeared. Some viewers watched a commercial that lasted for 20 seconds, others watched one that lasted for 24 seconds, 28 seconds, , 60 seconds.

I have 4 problems that I need solved in statistics. I would like it solved showing step by step before the deadline.

i have three assignments which are attached

In

order to estimate the mean 30-year fixed mortgage rate for a home loan in the

United States, a random sample of 28 recent loans is taken. The average

calculated from this sample is 5.25%. It can be assumed that 30-year fixed

mortgage rates are normally distributed with a standard deviation of 0.50%.

Compute a 90% and a 99% confidence interval for the population mean 30-year

fixed mortgage rate. UseTable

1

How would you know if the regression results were a good predictor of the dependent variable? What decisions could be made or insights provided through the regression results?

Let A and C be two events such that P (A) = 0.04 and P (C) = 0.08a) Determine P ( A U C) , given that A and C are independentb) Determine P (A U C) , given that A and C are mutually exclusive?Do not round your responseA) answer hereB) answer here

select a sample from population and estimate the linear equation in regression line.Find out the standard deviation,correlation and correlation coefficient.Interpret the answers how to use in decision making.

OH reports that it takes construction workers a mean time of 32 hours and a standard deviation time of 2 hours to erect a barn. Assume a normal distribution of construction times.a) Determine the Z value for 29 and 34 hours. What percent take between 32 and 34 hours to erect?b) What percent take bet

A recent article in the Cincinnati Enquirer reported that the mean labor cost to repair a heat pump is $90 with a standard deviation of $22. Montes Plumbing and

Heating Service completed repairs on two heat pumps this morning. The labor cost for the first was $75 and it was $100 for the second. Assume the distribution of

labor costs follows the normal probability distribution. Compute Z values for each and comment on findings.

A popular online retailer sells a wide variety of products including books. The proportion of customers that order only books is 21%. If a random sample of 600 customers is taken, what is the probability that more than 18% order only books?

how to get class width, absolute frequency, cummulative absolute frequency, cummulative relative frequency, stem and leaf fro an UNEQUAL class interval.

Assume that the average annual salary for a worker in the United States is $32,500 and that the annual salaries for Americans are normally distributed with a standard deviation equal to $6,250. Find the following:(A) What percentage of Americans earn below $21,000?(B) What percentage of Ameri

Homework #6 (due Wednesday, February 22) (Note: In hypothesis testing problems, you should provide the p-value and write a sentence summarizing your conclusion in the context of the problem. It is not sufficient just to report whether or not you reject H0.) 1. Larsen and Marx, Problem 6.2.2, p. 360. 2. Larsen and Marx, Problem 6.2.4, p. 360. 3. Larsen and Marx, Problem 6.2.6, p. 360. 4. Larsen and Marx, Problem 6.2.10, p. 360. 5. Write a sentence or two explaining carefully, in the context of the problem, the meaning of the p-value that you found in Problem 4. 6.

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Thanks!

Describe, in your own words, the following terms and give an example of eacha.F distribution b.F statistic c.Chi-square distribution d.T distribution e.Dependent samples f.Independent samples g.Degrees of freedom h.T statistic i.Paired difference

Draw ogives from the follwoing data and measure the median value. verify it by actual calculations.

Central size 5,15,25,35,45

Frequency 5,11,21,16,10

A consumer testing service is commisioned to rank the top three brands of laundry detergent. A total of 10 brand are to be included in the study.Suppose instead that 3 brands are chosen without rankinga. In how many ways can this be doneb. Suppose Company B has 2 of the 10 brands in the study. what

a frequency distribution shows mean 20,median 15 and coefficient of variance 0.5 find the variance and s.d

Ms. Dunbar, director of the consumer credit department of small bank, believes that consumer debt as a proportion of income is inversely or negatively associated with credit score. To determine if she is right, she gathered the data shown in the graph below. These data came from the files of several

The stem- and- leaf display below ives the test scores for the 14 students in Prof. Jones economics class. Use the display to answer the following questions.Test Scores6 \ 17 \ 022368 \ 0022889 \ 14Key 6 \ 1 means a score of 61a. What was the lowest score overallb. What was the highest score in the

These questions must be done in excel

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In certain experiments, the error made in determining the solubility of a substance is a random variable having the uniform density with a=-0.025 and =0.025. what are the probabilities that such an error will be(a) between 0.010 and 0.015;(b) between -0.012 and 0.012?

The probability that merchandise stolen from a store will be recovered is 15%. Suppose a random sample of 8 stores, from which merchandise has been stolen, is chosen._________Find the mean of this probability distribution.

Question 1

In

a study of computer use, 1000 randomly selected Canadian Internet users

were asked how much time they spend using the Internet in a typical

week (Ipsos Reid, August 9, 2005). The mean of the 1000 resulting

observations was 12.7 hours.

The

sample standard deviation was not reported but suppose that it was 5

hours. Carry out a hypothesis test with a significance level ofa =.05

to decide if there is convincing evidence that the mean time spent

using the Internet by Canadians is greater than 12.5 hours.

If a random variable has the gamma distribution with a=2 and =3, find the mean and the standard deviation of this distribution.

Need help understanding ANOVA

1. ________The manager of a supermarket found that 72% of the shoppers who taste a free sample of a food item will buy the item. What is the expected number of shoppers that will buy the item if a random sample of 50 shoppers taste a free sample?

assignments 6, 7, and final project part 1

A recent study of breast cancer revealed that 13% of the women in the sample used antibiotics more than 500 days in their lifetime. Further, 79% of these heavy antibiotics users developed breast cancer. According to the American Cancer Society, one in twelve women will develop breast c

Which of the following is a characteristic of every binomial distribution?A. Each outcome is dependent on the previous outcome.B. The probability of success increases from trial to trial.C. Each outcome is mutually exclusive.D. The outcome of the trial depends on the number of trials.

Please solve the following problem and show your work on how you solved it:If X = 18 and (X) = 324. A new variable Z is created by multiplying each X by 2 then subtracting it by 5. What are Y and (Y) equal to?

Exam 1

10 point question has been uplosd 3hr deadline

Do you think there is a correlation between CEO salaries and the degree of success of a company? If you were to take a sample of companies with comparable size, market capitalization, and product category, and plot CEO salaries against the net profit of their respective companies, do you expect to f

A biologist reports a confidence interval of (2.0,2.4) when estimating the mean height (in centimeters) of a sample of seedlings. What is the estimated margin of

error and the sample mean?

All the explanations are on the microsoft word file. Except for the Microsoft Excel file named Separate Problems which are to be done on the same file that they are in.

Everything is needed for Saturday February 23, 2013. Please give me a quote, please.

Your company has launched a new product .Your company is a reputed company with 50% market share of similar range of products. Your competitors also enter with their new products equivalent to your new product. Based on your earlier experience, you initially estimated that, your market share of the new product would be 50%. You carry out random sampling of 25 customers who have purchased the new product ad realize that only eight of them have actually purchased your product. Plan a hypothesis test to check whether you are likely to have a half of market share

This is my homework assignment. How Much will it cost to do?

In a normal distribution, 95% of samples fall between: Which is the correct answer?1. -1.645 and +1.645 SD2. -1.96 and +1.96 SD3. -1 and +14. none of the above

For the following describe what would be the roles of descriptive and inferential statistics be in the analysis of these data? :A medical researcher is testing the effectiveness of a new drug for treating Parkinsons disease. Ten subjects with the disease are given the new drug and 10 are given a pl

In the Ranking Elasticity discussion forum, consider the following list of seven goods and then rank them from most (1) to least (7) elastic: a. Beef b. Salt c.

European vacation (the event, not the movie) d. Steak e. Season 1 of the I Love Lucy? show on DVD f. Honda Accord g. Dijon mustard

The mall has a set of data with employee age (X) and the corresponding number of annual on-the-job-accidents. Analysis on the set finds that the regression equation is Y=82-2.5*X. Starting with what age someone will stop having accidents.Which is the correct answer?1. 822. 793. 334. 45

The regression equation between years of employment (X) and discount amount (Y) % at the Happy cafeteria is given by:Y =3*X + 9For how many years you need to be an employee in order to get a 25% discount.Which is the correct answer1. 92. more than 5.33. 124. more than 3

Please choose some of the scenarios below (in separate posts), trying not to use a situation that has not already been addressed by a member of our class. Answer the following question for each:

Is there a possibility for bias in the situation being presented? What is the nature of the bias? Explain why there is bias? Could you think of a way to reduce or eliminate bias?

With double-digit annual percentage increases in the cost of health insurance, more and more workers are likely to lack health insurance coverage (USA Today, January 23, 2004). The following sample data provide a comparison of workers with and without health insurance coverage for small, medium, and

Three defective electric tooth brushes were shipped to a drug store by Clean Brush Products along with 17 non defective ones. A) What is the probability the first

two electric toothbrushes sold will be returned because they are defective? B)What is the probability the first 2 brushes sold will not be defective?

Statistics The Marketing Program

Case Study 2

A company supplies pins in bulk to a customer. The company uses an automatic lathe to produce the pins. Due to many causes- vibration, temperature, wear and tear and the like-the length of the pins made by the machines are normally distributed with a mean of 1.008 inches and a standard deviation of 0.045 inch. The company supplies the pins in large batches to a customer. The customer will take a random sample of 50 pins from the batch and compute the sample mean. If the sample mean is within the interval 1.000 inch then the customer will buy the whole batch.

1. What is the probability that a batch will be acceptable to the consumer? Is the probability large enough to be in acceptable level of performance?

In order to improve percentage accepted, the production manager and the engineers discuss adjusting the population mean and the standard deviation of the length of the pins.

2. If the lathe can be adjusted to have the mean of the lengths to any desired value, what should it be adjusted to? Why?

3. Suppose the mean cannot be adjusted, but the standard deviation can be reduced. What maximum value of the standard deviation would make 90% of the parts acceptable to the consumer? (Assume the mean to be 1.008)

A nursing home claims that their patients (n=25) will live at least 5 more years. For a test at alpha=.10 the critical t value is: __________Show details please

State and explain an example of a Ratio measurement scale

The null hypothesis is rejected if the p value is: Choose the correct answer1. >52. <53. <.054. >-5%

Could you help me with these Statistics Prob hw?

i have online statistics quiz