There are four auto body shops in a community and all claim to promptly serve customers.?

To check if there is any difference in service, customers are randomly selected from each
repair shop and their waiting times in days are recorded. The output from a statistical software
package is:
Summary
Groups Count Sum Average Variance
Body Shop A 3 15.4 5.133333 0.323333
Body Shop B 4 32 8 1.433333
Body Shop C 5 25.2 5.04 0.748
Body Shop D 4 25.9 6.475 0.595833
ANOVA
Source of Variation SS df MS F p-value
Between Groups 23.37321 3 7.791069 9.612506 0.001632
Within Groups 9.726167 12 0.810514
Total 33.09938 15
Is there evidence to suggest a difference in the mean waiting times at the four body shops?
Use the .05 significance level.

Your statistics software package reports a p-value of 0.001632. (last number in the “Between Groups” row) Since that is less than your level of significance, you should reject the null hypothesis. In a one-way ANOVA test, the null hypothesis is that there is no difference in the means. We’re rejecting that, so we conclude that there is evidence to suggest a difference in the mean waiting times at the four body shops.

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