Exam 10: Two-Sample Tests

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TABLE 10-4 Two samples each of size 25 are taken from independent populations assumed to be normally distributed with equal variances.The first sample has a mean of 35.5 and standard deviation of 3.0 while the second sample has a mean of 33.0 and standard deviation of 4.0. -If we are testing for the difference between the means of 2 related populations with samples of n1 = 20 and n2 = 20,the number of degrees of freedom is equal to

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TABLE 10-4 Two samples each of size 25 are taken from independent populations assumed to be normally distributed with equal variances.The first sample has a mean of 35.5 and standard deviation of 3.0 while the second sample has a mean of 33.0 and standard deviation of 4.0. -True or False: Repeated measurements from the same individuals is an example of data collected from two related populations.

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TABLE 10-12 A quality control engineer is in charge of the manufacture of USB flash drives.Two different processes can be used to manufacture the flash drives.He suspects that the Kohler method produces a greater proportion of defects than the Russell method.He samples 150 of the Kohler and 200 of the Russell flash drives and finds that 27 and 18 of them,respectively,are defective.If Kohler is designated as "Group 1" and Russell is designated as "Group 2," perform the appropriate test at a level of significance of 0.01. -The test for the equality of two population variances is based on

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TABLE 10-6 To investigate the efficacy of a diet,a random sample of 16 male patients is selected from a population of adult males using the diet.The weight of each individual in the sample is taken at the start of the diet and at a medical follow-up 4 weeks later.Assuming that the population of differences in weight before versus after the diet follow a normal distribution,the t-test for related samples can be used to determine if there was a significant decrease in the mean weight during this period.Suppose the mean decrease in weights over all 16 subjects in the study is 3.0 pounds with the standard deviation of differences computed as 6.0 pounds. -Referring to Table 10-6,what is the 99% confidence interval estimate for the mean difference in weight before and after the diet?

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TABLE 10-15 The table below presents the summary statistics for the starting annual salaries (in thousands of dollars)for individuals entering the public accounting and financial planning professions. Sample I (public accounting): TABLE 10-15 The table below presents the summary statistics for the starting annual salaries (in thousands of dollars)for individuals entering the public accounting and financial planning professions. Sample I (public accounting):   <sub>1</sub> = 60.35,S<sub>1</sub> = 3.25,n<sub>1</sub> = 12 Sample II (financial planning):   <sub>2</sub> = 58.20,S<sub>2</sub> = 2.48,n<sub>2</sub> = 14 Test whether the mean starting annual salaries for individuals entering the public accounting professions is higher than that of financial planning assuming that the two population variances are the same. -Referring to Table 10-15,what is(are)the critical value(s)of the relevant hypothesis test if the level of significance is 0.05? 1 = 60.35,S1 = 3.25,n1 = 12 Sample II (financial planning): TABLE 10-15 The table below presents the summary statistics for the starting annual salaries (in thousands of dollars)for individuals entering the public accounting and financial planning professions. Sample I (public accounting):   <sub>1</sub> = 60.35,S<sub>1</sub> = 3.25,n<sub>1</sub> = 12 Sample II (financial planning):   <sub>2</sub> = 58.20,S<sub>2</sub> = 2.48,n<sub>2</sub> = 14 Test whether the mean starting annual salaries for individuals entering the public accounting professions is higher than that of financial planning assuming that the two population variances are the same. -Referring to Table 10-15,what is(are)the critical value(s)of the relevant hypothesis test if the level of significance is 0.05? 2 = 58.20,S2 = 2.48,n2 = 14 Test whether the mean starting annual salaries for individuals entering the public accounting professions is higher than that of financial planning assuming that the two population variances are the same. -Referring to Table 10-15,what is(are)the critical value(s)of the relevant hypothesis test if the level of significance is 0.05?

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TABLE 10-5 To test the effectiveness of a business school preparation course,8 students took a general business test before and after the course.The results are given below. TABLE 10-5 To test the effectiveness of a business school preparation course,8 students took a general business test before and after the course.The results are given below.   -True or False: Referring to Table 10-5,in examining the differences between related samples we are essentially sampling from an underlying population of difference scores. -True or False: Referring to Table 10-5,in examining the differences between related samples we are essentially sampling from an underlying population of difference "scores."

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TABLE 10-1 Are Japanese managers more motivated than American managers? A randomly selected group of each were administered the Sarnoff Survey of Attitudes Toward Life (SSATL),which measures motivation for upward mobility.The SSATL scores are summarized below. TABLE 10-1 Are Japanese managers more motivated than American managers? A randomly selected group of each were administered the Sarnoff Survey of Attitudes Toward Life (SSATL),which measures motivation for upward mobility.The SSATL scores are summarized below.   -Referring to Table 10-1,find the p-value if we assume that the alternative hypothesis was a two-tail test. -Referring to Table 10-1,find the p-value if we assume that the alternative hypothesis was a two-tail test.

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TABLE 10-10 A corporation randomly selects 150 salespeople and finds that 66% who have never taken a self-improvement course would like such a course.The firm did a similar study 10 years ago in which 60% of a random sample of 160 salespeople wanted a self-improvement course.The groups are assumed to be independent random samples.Let π1 and π2 represent the true proportion of workers who would like to attend a self-improvement course in the recent study and the past study,respectively. -Referring to Table 10-10,construct a 95% confidence interval estimate of the difference in proportion of workers who would like to attend a self-improvement course in the recent study and the past study.

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TABLE 10-12 A quality control engineer is in charge of the manufacture of USB flash drives.Two different processes can be used to manufacture the flash drives.He suspects that the Kohler method produces a greater proportion of defects than the Russell method.He samples 150 of the Kohler and 200 of the Russell flash drives and finds that 27 and 18 of them,respectively,are defective.If Kohler is designated as "Group 1" and Russell is designated as "Group 2," perform the appropriate test at a level of significance of 0.01. -True or False: F tests are one-tail tests.

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TABLE 10-10 A corporation randomly selects 150 salespeople and finds that 66% who have never taken a self-improvement course would like such a course.The firm did a similar study 10 years ago in which 60% of a random sample of 160 salespeople wanted a self-improvement course.The groups are assumed to be independent random samples.Let π1 and π2 represent the true proportion of workers who would like to attend a self-improvement course in the recent study and the past study,respectively. -Referring to Table 10-10,what is/are the critical value(s)when testing whether population proportions are different if α = 0.10?

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TABLE 10-15 The table below presents the summary statistics for the starting annual salaries (in thousands of dollars)for individuals entering the public accounting and financial planning professions. Sample I (public accounting): TABLE 10-15 The table below presents the summary statistics for the starting annual salaries (in thousands of dollars)for individuals entering the public accounting and financial planning professions. Sample I (public accounting):   <sub>1</sub> = 60.35,S<sub>1</sub> = 3.25,n<sub>1</sub> = 12 Sample II (financial planning):   <sub>2</sub> = 58.20,S<sub>2</sub> = 2.48,n<sub>2</sub> = 14 Test whether the mean starting annual salaries for individuals entering the public accounting professions is higher than that of financial planning assuming that the two population variances are the same. -Referring to Table 10-15,what is the smallest level of significance at which the null hypothesis will still not be rejected? 1 = 60.35,S1 = 3.25,n1 = 12 Sample II (financial planning): TABLE 10-15 The table below presents the summary statistics for the starting annual salaries (in thousands of dollars)for individuals entering the public accounting and financial planning professions. Sample I (public accounting):   <sub>1</sub> = 60.35,S<sub>1</sub> = 3.25,n<sub>1</sub> = 12 Sample II (financial planning):   <sub>2</sub> = 58.20,S<sub>2</sub> = 2.48,n<sub>2</sub> = 14 Test whether the mean starting annual salaries for individuals entering the public accounting professions is higher than that of financial planning assuming that the two population variances are the same. -Referring to Table 10-15,what is the smallest level of significance at which the null hypothesis will still not be rejected? 2 = 58.20,S2 = 2.48,n2 = 14 Test whether the mean starting annual salaries for individuals entering the public accounting professions is higher than that of financial planning assuming that the two population variances are the same. -Referring to Table 10-15,what is the smallest level of significance at which the null hypothesis will still not be rejected?

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TABLE 10-15 The table below presents the summary statistics for the starting annual salaries (in thousands of dollars)for individuals entering the public accounting and financial planning professions. Sample I (public accounting): TABLE 10-15 The table below presents the summary statistics for the starting annual salaries (in thousands of dollars)for individuals entering the public accounting and financial planning professions. Sample I (public accounting):   <sub>1</sub> = 60.35,S<sub>1</sub> = 3.25,n<sub>1</sub> = 12 Sample II (financial planning):   <sub>2</sub> = 58.20,S<sub>2</sub> = 2.48,n<sub>2</sub> = 14 Test whether the mean starting annual salaries for individuals entering the public accounting professions is higher than that of financial planning assuming that the two population variances are the same. -Referring to Table 10-15,what is(are)the critical value(s)of the relevant hypothesis test if the level of significance is 0.10? 1 = 60.35,S1 = 3.25,n1 = 12 Sample II (financial planning): TABLE 10-15 The table below presents the summary statistics for the starting annual salaries (in thousands of dollars)for individuals entering the public accounting and financial planning professions. Sample I (public accounting):   <sub>1</sub> = 60.35,S<sub>1</sub> = 3.25,n<sub>1</sub> = 12 Sample II (financial planning):   <sub>2</sub> = 58.20,S<sub>2</sub> = 2.48,n<sub>2</sub> = 14 Test whether the mean starting annual salaries for individuals entering the public accounting professions is higher than that of financial planning assuming that the two population variances are the same. -Referring to Table 10-15,what is(are)the critical value(s)of the relevant hypothesis test if the level of significance is 0.10? 2 = 58.20,S2 = 2.48,n2 = 14 Test whether the mean starting annual salaries for individuals entering the public accounting professions is higher than that of financial planning assuming that the two population variances are the same. -Referring to Table 10-15,what is(are)the critical value(s)of the relevant hypothesis test if the level of significance is 0.10?

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TABLE 10-2 A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries.Of primary interest to the researcher was the effect of gender on starting salaries.The result of the pooled-variance t-test of the mean salaries of the females (Population 1)and males (Population 2)in the sample is given below. TABLE 10-2 A researcher randomly sampled 30 graduates of an MBA program and recorded data concerning their starting salaries.Of primary interest to the researcher was the effect of gender on starting salaries.The result of the pooled-variance t-test of the mean salaries of the females (Population 1)and males (Population 2)in the sample is given below.   -Referring to Table 10-2,what is the 90% confidence interval estimate for the difference between two means? -Referring to Table 10-2,what is the 90% confidence interval estimate for the difference between two means?

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TABLE 10-3 A real estate company is interested in testing whether the mean time that families in Gotham have been living in their current homes is less than families in Metropolis.Assume that the two population variances are equal.A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes. Gotham: TABLE 10-3 A real estate company is interested in testing whether the mean time that families in Gotham have been living in their current homes is less than families in Metropolis.Assume that the two population variances are equal.A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes. Gotham:   <sub>G</sub> = 35 months,   = 900 Metropolis:   <sub>M</sub> = 50 months,   = 1050 -Referring to Table 10-3,suppose α = 0.05.Which of the following represents the result of the relevant hypothesis test? G = 35 months, TABLE 10-3 A real estate company is interested in testing whether the mean time that families in Gotham have been living in their current homes is less than families in Metropolis.Assume that the two population variances are equal.A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes. Gotham:   <sub>G</sub> = 35 months,   = 900 Metropolis:   <sub>M</sub> = 50 months,   = 1050 -Referring to Table 10-3,suppose α = 0.05.Which of the following represents the result of the relevant hypothesis test? = 900 Metropolis: TABLE 10-3 A real estate company is interested in testing whether the mean time that families in Gotham have been living in their current homes is less than families in Metropolis.Assume that the two population variances are equal.A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes. Gotham:   <sub>G</sub> = 35 months,   = 900 Metropolis:   <sub>M</sub> = 50 months,   = 1050 -Referring to Table 10-3,suppose α = 0.05.Which of the following represents the result of the relevant hypothesis test? M = 50 months, TABLE 10-3 A real estate company is interested in testing whether the mean time that families in Gotham have been living in their current homes is less than families in Metropolis.Assume that the two population variances are equal.A random sample of 100 families from Gotham and a random sample of 150 families in Metropolis yield the following data on length of residence in current homes. Gotham:   <sub>G</sub> = 35 months,   = 900 Metropolis:   <sub>M</sub> = 50 months,   = 1050 -Referring to Table 10-3,suppose α = 0.05.Which of the following represents the result of the relevant hypothesis test? = 1050 -Referring to Table 10-3,suppose α = 0.05.Which of the following represents the result of the relevant hypothesis test?

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TABLE 10-4 Two samples each of size 25 are taken from independent populations assumed to be normally distributed with equal variances.The first sample has a mean of 35.5 and standard deviation of 3.0 while the second sample has a mean of 33.0 and standard deviation of 4.0. -True or False: A Marine drill instructor recorded the time in which each of 11 recruits completed an obstacle course both before and after basic training.To test whether any improvement occurred,the instructor would use a t-distribution with 11 degrees of freedom.

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TABLE 10-10 A corporation randomly selects 150 salespeople and finds that 66% who have never taken a self-improvement course would like such a course.The firm did a similar study 10 years ago in which 60% of a random sample of 160 salespeople wanted a self-improvement course.The groups are assumed to be independent random samples.Let π1 and π2 represent the true proportion of workers who would like to attend a self-improvement course in the recent study and the past study,respectively. -Referring to Table 10-10,what is the value of the test statistic to use in evaluating the alternative hypothesis that there is a difference in the two population proportions?

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TABLE 10-13 The amount of time required to reach a customer service representative has a huge impact on customer satisfaction.Below is the Excel output from a study to see whether there is evidence of a difference in the mean amounts of time required to reach a customer service representative between two hotels.Assume that the population variances in the amount of time for the two hotels are not equal. TABLE 10-13 The amount of time required to reach a customer service representative has a huge impact on customer satisfaction.Below is the Excel output from a study to see whether there is evidence of a difference in the mean amounts of time required to reach a customer service representative between two hotels.Assume that the population variances in the amount of time for the two hotels are not equal.   -Referring to Table 10-13,which of the following represents the relevant hypotheses tested? -Referring to Table 10-13,which of the following represents the relevant hypotheses tested?

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TABLE 10-7 A buyer for a manufacturing plant suspects that his primary supplier of raw materials is overcharging.In order to determine if his suspicion is correct,he contacts a second supplier and asks for the prices on various identical materials.He wants to compare these prices with those of his primary supplier.The data collected is presented in the table below,with some summary statistics presented (all of these might not be necessary to answer the questions which follow).The buyer believes that the differences are normally distributed and will use this sample to perform an appropriate test at a level of significance of 0.01. TABLE 10-7 A buyer for a manufacturing plant suspects that his primary supplier of raw materials is overcharging.In order to determine if his suspicion is correct,he contacts a second supplier and asks for the prices on various identical materials.He wants to compare these prices with those of his primary supplier.The data collected is presented in the table below,with some summary statistics presented (all of these might not be necessary to answer the questions which follow).The buyer believes that the differences are normally distributed and will use this sample to perform an appropriate test at a level of significance of 0.01.   -The Wall Street Journal recently ran an article indicating differences in perception of sexual harassment on the job between men and women.The article claimed that women perceived the problem to be much more prevalent than did men.One question asked to both men and women was: Do you think sexual harassment is a major problem in the American workplace? Some 24% of the men compared to 62% of the women responded Yes. Suppose that 150 women and 200 men were interviewed.Construct a 95% confidence interval estimate of the difference between the proportion of women and men who think sexual harassment is a major problem in the American workplace. -The Wall Street Journal recently ran an article indicating differences in perception of sexual harassment on the job between men and women.The article claimed that women perceived the problem to be much more prevalent than did men.One question asked to both men and women was: "Do you think sexual harassment is a major problem in the American workplace?" Some 24% of the men compared to 62% of the women responded "Yes." Suppose that 150 women and 200 men were interviewed.Construct a 95% confidence interval estimate of the difference between the proportion of women and men who think sexual harassment is a major problem in the American workplace.

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TABLE 10-14 The use of preservatives by food processors has become a controversial issue.Suppose two preservatives are extensively tested and determined safe for use in meats.A processor wants to compare the preservatives for their effects on retarding spoilage.Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II,and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat.The results are summarized in the table below. TABLE 10-14 The use of preservatives by food processors has become a controversial issue.Suppose two preservatives are extensively tested and determined safe for use in meats.A processor wants to compare the preservatives for their effects on retarding spoilage.Suppose 15 cuts of fresh meat are treated with preservative I and 15 are treated with preservative II,and the number of hours until spoilage begins is recorded for each of the 30 cuts of meat.The results are summarized in the table below.   -Referring to Table 10-14,what assumptions are necessary for testing if the population variances differ for preservatives I and II? -Referring to Table 10-14,what assumptions are necessary for testing if the population variances differ for preservatives I and II?

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TABLE 10-7 A buyer for a manufacturing plant suspects that his primary supplier of raw materials is overcharging.In order to determine if his suspicion is correct,he contacts a second supplier and asks for the prices on various identical materials.He wants to compare these prices with those of his primary supplier.The data collected is presented in the table below,with some summary statistics presented (all of these might not be necessary to answer the questions which follow).The buyer believes that the differences are normally distributed and will use this sample to perform an appropriate test at a level of significance of 0.01. TABLE 10-7 A buyer for a manufacturing plant suspects that his primary supplier of raw materials is overcharging.In order to determine if his suspicion is correct,he contacts a second supplier and asks for the prices on various identical materials.He wants to compare these prices with those of his primary supplier.The data collected is presented in the table below,with some summary statistics presented (all of these might not be necessary to answer the questions which follow).The buyer believes that the differences are normally distributed and will use this sample to perform an appropriate test at a level of significance of 0.01.   -Referring to Table 10-7,the test to perform is a -Referring to Table 10-7,the test to perform is a

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