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A tax preparation firm is interested in comparing the quality of work at two of its regional offices. The observed frequencies showing the number of sampled returns with errors and the number of sampled returns that were correct are as follows. Regional Office Return Office 1 Office 2 Error 31 29 Correct 216 274 a. What are the sample proportions of returns with errors at the two offices? Office 1 Office 2 Đ (to 2 decimals) 0.13 0.10 b. Use the chi-square test procedure to see if there is a significant difference between the population proportion of error rates for the two offices. Test the null hypothesis Ho : p1 = P2 with a 0.10 level of significance. Note: We generally use the chi-square test of equal proportions when there are three or more populations, but this example shows that the same chi-square test can be used for testing equal proportions with two populations. Give the test statistic and the p-value? Use Table 3 of Appendix B. x = 1.243 (to 3 decimals. Do not round your intermediate calculation.) The p-value is greater than 0.10 What is your conclusion? Cannot conclude v that the two offices do not have the same population proportion error rates. C. AX* test statistic or a z test statistic may be used to test the hypothesis. However, when e want to make inferences about the proportions for two populations, we generally prefer the z test statistic procedure. Comment on why the z test statistic provides the user with more options for inferences about the proportions of two populations. With populations, the test statistic x will always equal z The chi-square test v is preferred because it allows for - Select your answer - v tailed tests. The z-test v is limited to two v tailed tests.

A tax preparation firm is interested in comparing the quality of work at two of its regional offices. The observed frequencies showing the number of sampled returns with errors and the number of sampled returns that were correct are as follows. Regional Office Return Office 1 Office 2 Error 31 29 Correct 216 274 a. What are the sample proportions of returns with errors at the two offices? Office 1 Office 2 Đ (to 2 decimals) 0.13 0.10 b. Use the chi-square test procedure to see if there is a significant difference between the population proportion of error rates for the two offices. Test the null hypothesis Ho : p1 = P2 with a 0.10 level of significance. Note: We generally use the chi-square test of equal proportions when there are three or more populations, but this example shows that the same chi-square test can be used for testing equal proportions with two populations. Give the test statistic and the p-value? Use Table 3 of Appendix B. x = 1.243 (to 3 decimals. Do not round your intermediate calculation.) The p-value is greater than 0.10 What is your conclusion? Cannot conclude v that the two offices do not have the same population proportion error rates. C. AX* test statistic or a z test statistic may be used to test the hypothesis. However, when e want to make inferences about the proportions for two populations, we generally prefer the z test statistic procedure. Comment on why the z test statistic provides the user with more options for inferences about the proportions of two populations. With populations, the test statistic x will always equal z The chi-square test v is preferred because it allows for - Select your answer - v tailed tests. The z-test v is limited to two v tailed tests.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A tax preparation firm is interested in comparing the quality of work at two of its regional offices. The observed frequencies showing the number of sampled returns with errors and the number of sampled returns that were correct are as follows. Regional Office Return Office 1 Office 2 Error 31 29 Correct 216 274 a. What are the sample proportions of returns with errors at the two offices? Office 1 Office 2 P (to 2 decimals) 0.13 0.10 b. Use the chi-square test procedure to see if there is a significant difference between the population proportion of error rates for the two offices. Test the null hypothesis Ho : P1 = pz with a 0.10 level of significance. Note: We generally use the chi-square test of equal proportions when there are three or more populations, but this example shows that the same chi-square test can be used for testing equal proportions with two populations. Give the test statistic and the p-value? Use Table 3 of Appendix B. x? = 1.243 (to 3 decimals. Do not round your intermediate calculation.) The p-value is greater than 0.10 What is your conclusion? Cannot conclude v that the two offices do not have the same population proportion error rates. C. Ax? test statistic or a z test statistic may be used to test the hypothesis. However, when we want to make inferences about the proportions for two populations, we generally prefer the z test statistic procedure. Comment on why the z test statistic provides the user with more options for inferences about the proportions of two populations. With populations, the test statistic x? will always equal 22. The chi-square test v is preferred because it allows for Select your answer - tailed tests. The z-test v is limited to two v tailed tests.
Transcribed Image Text:A tax preparation firm is interested in comparing the quality of work at two of its regional offices. The observed frequencies showing the number of sampled returns with errors and the number of sampled returns that were correct are as follows. Regional Office Return Office 1 Office 2 Error 31 29 Correct 216 274 a. What are the sample proportions of returns with errors at the two offices? Office 1 Office 2 P (to 2 decimals) 0.13 0.10 b. Use the chi-square test procedure to see if there is a significant difference between the population proportion of error rates for the two offices. Test the null hypothesis Ho : P1 = pz with a 0.10 level of significance. Note: We generally use the chi-square test of equal proportions when there are three or more populations, but this example shows that the same chi-square test can be used for testing equal proportions with two populations. Give the test statistic and the p-value? Use Table 3 of Appendix B. x? = 1.243 (to 3 decimals. Do not round your intermediate calculation.) The p-value is greater than 0.10 What is your conclusion? Cannot conclude v that the two offices do not have the same population proportion error rates. C. Ax? test statistic or a z test statistic may be used to test the hypothesis. However, when we want to make inferences about the proportions for two populations, we generally prefer the z test statistic procedure. Comment on why the z test statistic provides the user with more options for inferences about the proportions of two populations. With populations, the test statistic x? will always equal 22. The chi-square test v is preferred because it allows for Select your answer - tailed tests. The z-test v is limited to two v tailed tests.
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