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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F06d12251-c043-485e-94d6-68a1cef27ba5%2Fdab122a3-1958-4691-9823-74ae4c1680b6%2Fmlra2rf_processed.png&w=3840&q=75)
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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