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following number of millionaires for samples of individuals from each Millionaire San Jose, CA Yes 42 36 No 458 264 a. What is the estimate of the percentage of millionaires in each of these cities (to 1 decimal)? Lexington Park, Bridgeport, CT Cannot conclude 1.233 Use Table 3 of Appendix B to find the p-value. The p-value is greater than 0.10 What is your conclusion? Bridgeport, CT San Jose, Washington, CA D.C. our cities City 8.8 Washington, D.C. 35 365 MD Percentage, % 8.4 12.0 b. Using a = 0.05 level of significance, test for the equality of the population proportion of millionaires for these four cities. What is the p-value Compute the value of the x² test statistic (to 3 decimals). 8.3 Lexington Park, MD 33 367 that there is a difference among the population proportion of millionaires for these four cities.

following number of millionaires for samples of individuals from each Millionaire San Jose, CA Yes 42 36 No 458 264 a. What is the estimate of the percentage of millionaires in each of these cities (to 1 decimal)? Lexington Park, Bridgeport, CT Cannot conclude 1.233 Use Table 3 of Appendix B to find the p-value. The p-value is greater than 0.10 What is your conclusion? Bridgeport, CT San Jose, Washington, CA D.C. our cities City 8.8 Washington, D.C. 35 365 MD Percentage, % 8.4 12.0 b. Using a = 0.05 level of significance, test for the equality of the population proportion of millionaires for these four cities. What is the p-value Compute the value of the x² test statistic (to 3 decimals). 8.3 Lexington Park, MD 33 367 that there is a difference among the population proportion of millionaires for these four cities.

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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following number of millionaires for samples of individuals from each of the four cities. San Jose, CA Yes 42 36 No 458 264 a. What is the estimate of the percentage of millionaires in each of these cities (to 1 decimal)? Millionaire Bridgeport, CT 8.4 Cannot conclude The p-value is greater than 0.10 What is your conclusion? CA 1.233 Use Table 3 of Appendix B to find the p-value. City Bridgeport, CT 12.0 San Jose, Washington, Lexington Park, D.C. Washington, D.C. MD Percentage, % 8.8 b. Using a = 0.05 level of significance, test for the equality of the population proportion of millionaires for these four cities. What is the p-value? Compute the value of the X² test statistic (to 3 decimals). 35 365 8.3 Lexington Park, MD 33 367 that there is a difference among the population proportion of millionaires for these four cities.
Transcribed Image Text:following number of millionaires for samples of individuals from each of the four cities. San Jose, CA Yes 42 36 No 458 264 a. What is the estimate of the percentage of millionaires in each of these cities (to 1 decimal)? Millionaire Bridgeport, CT 8.4 Cannot conclude The p-value is greater than 0.10 What is your conclusion? CA 1.233 Use Table 3 of Appendix B to find the p-value. City Bridgeport, CT 12.0 San Jose, Washington, Lexington Park, D.C. Washington, D.C. MD Percentage, % 8.8 b. Using a = 0.05 level of significance, test for the equality of the population proportion of millionaires for these four cities. What is the p-value? Compute the value of the X² test statistic (to 3 decimals). 35 365 8.3 Lexington Park, MD 33 367 that there is a difference among the population proportion of millionaires for these four cities.
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