product testing organization uses a survey of readers to obtain customer satisfaction ratings for the nation's largest supermarkets. Each survey respondent is asked to rate a specified supermarket ba ctors such as: quality of products, selection, value, checkout efficiency, service, and store layout. An overall satisfaction score summarizes the rating for each respondent with 100 meaning the respon satisfied in terms of all factors. Suppose sample data representative of independent samples of two supermarkets' customers are shown below. Supermarket 1 n₁ = 280 x₁ = 83 Supermarket 2 n₂ = 300 x₂ = 82 ulate the null and alternative hypotheses to test whether there is a difference between the population mean customer satisfaction scores for the two retailers. (Let #₁ = the population mean satisfaction ermarket 1's customers, and let #₂ = the population mean satisfaction score for Supermarket 2's customers. Enter != for # as needed.) sume that experience with the satisfaction rating scale indicates that a population standard deviation of 14 is a reasonable assumption for both retailers. Conduct the hypothesis test. culate the test statistic. (Use #₂ - #₂ Round your answer to two decimal places.) x ter a number. port the p-value. (Round your answer to four decimal places.) value= a 0.05 level of significance what is your conclusion? Reject Ho. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers. Do not reject Ho. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers. O Reject Ho. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers. Do not reject Ho. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers. Which retailer, if either, appears to have the greater customer satisfaction? home end.
product testing organization uses a survey of readers to obtain customer satisfaction ratings for the nation's largest supermarkets. Each survey respondent is asked to rate a specified supermarket ba ctors such as: quality of products, selection, value, checkout efficiency, service, and store layout. An overall satisfaction score summarizes the rating for each respondent with 100 meaning the respon satisfied in terms of all factors. Suppose sample data representative of independent samples of two supermarkets' customers are shown below. Supermarket 1 n₁ = 280 x₁ = 83 Supermarket 2 n₂ = 300 x₂ = 82 ulate the null and alternative hypotheses to test whether there is a difference between the population mean customer satisfaction scores for the two retailers. (Let #₁ = the population mean satisfaction ermarket 1's customers, and let #₂ = the population mean satisfaction score for Supermarket 2's customers. Enter != for # as needed.) sume that experience with the satisfaction rating scale indicates that a population standard deviation of 14 is a reasonable assumption for both retailers. Conduct the hypothesis test. culate the test statistic. (Use #₂ - #₂ Round your answer to two decimal places.) x ter a number. port the p-value. (Round your answer to four decimal places.) value= a 0.05 level of significance what is your conclusion? Reject Ho. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers. Do not reject Ho. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers. O Reject Ho. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers. Do not reject Ho. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers. Which retailer, if either, appears to have the greater customer satisfaction? home end.
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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Sample size n1=280 , n2=300
Sample means x1=83 , x2=82
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