onal 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 0.050.05 level of significance. Assume the population distributions are approximately normal with equal population variances. Drive-Through Wait Times (in Minutes) Store 1 Store 2 Store 3 2.15 1.53 2.50 1.80 1.58 2.30 2.00 1.82 1.86

onal 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 0.050.05 level of significance. Assume the population distributions are approximately normal with equal population variances. Drive-Through Wait Times (in Minutes) Store 1 Store 2 Store 3 2.15 1.53 2.50 1.80 1.58 2.30 2.00 1.82 1.86

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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Question

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 0.050.05 level of significance. Assume the population distributions are approximately normal with equal population variances.

Drive-Through Wait Times (in Minutes)

Store 1	Store 2	Store 3
2.15	1.53	2.50
1.80	1.58	2.30
2.00	1.82	1.86
1.28	2.12	1.98
2.08	2.23	2.18
1.44	1.99	2.35
1.78	1.54	2.44

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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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