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A regional manager wants to know if there is a difference between the mean amounts of time that customers wait in line at the drive-through window for the three stor in her region. She randomly samples the wait times at each store. Her data are given in the following table. Use a one-way ANOVA test to determine if there is a differen between the mean wait times for the three stores, at the 0.05 level of significance. Assume the population distributions are approximately normal with equal population variances. Store 1 2.78 2.73 2.83 2.76 3.35 Drive-Through Wait Times (in Minutes) Store 2 2.99 2.92 2.75 3.33 2.75 Store 3 3.53 2.82 3.19 3.41 3.52

A regional manager wants to know if there is a difference between the mean amounts of time that customers wait in line at the drive-through window for the three stor in her region. She randomly samples the wait times at each store. Her data are given in the following table. Use a one-way ANOVA test to determine if there is a differen between the mean wait times for the three stores, at the 0.05 level of significance. Assume the population distributions are approximately normal with equal population variances. Store 1 2.78 2.73 2.83 2.76 3.35 Drive-Through Wait Times (in Minutes) Store 2 2.99 2.92 2.75 3.33 2.75 Store 3 3.53 2.82 3.19 3.41 3.52

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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2. Interpret this data. 

A regional manager wants to know if there is a difference between the mean amounts of time that customers wait in line at the drive-through window for the three stores in her region. She randomly samples the wait times at each store. Her data are given in the following table. Use a one-way ANOVA test to determine if there is a difference between the mean wait times for the three stores, at the 0.05 level of significance. Assume the population distributions are approximately normal with equal population variances. Store 1 2.78 2.73 2.83 2.76 3.35 2.79 2.78 Drive-Through Wait Times (in Minutes) Store 2 2.99 2.92 2.75 3.33 2.75 3.11 3.29 Store 3 3.53 2.82 3.19 3.41 3.52 3.32 2.89 Copy Data Step 1 of 2: Compute the value of the test statistic. Round any intermediate calculations to at least six decimal places, and round your final answer to four decimal places.
Transcribed Image Text:A regional manager wants to know if there is a difference between the mean amounts of time that customers wait in line at the drive-through window for the three stores in her region. She randomly samples the wait times at each store. Her data are given in the following table. Use a one-way ANOVA test to determine if there is a difference between the mean wait times for the three stores, at the 0.05 level of significance. Assume the population distributions are approximately normal with equal population variances. Store 1 2.78 2.73 2.83 2.76 3.35 2.79 2.78 Drive-Through Wait Times (in Minutes) Store 2 2.99 2.92 2.75 3.33 2.75 3.11 3.29 Store 3 3.53 2.82 3.19 3.41 3.52 3.32 2.89 Copy Data Step 1 of 2: Compute the value of the test statistic. Round any intermediate calculations to at least six decimal places, and round your final answer to four decimal places.
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