A management consultant wants to determine whether the age and gender of a resta

Question

A management consultant wants to determine whether the age and gender of a restaurant's wait staff influence the size of the tip the customer leaves. Three age brackets (factor A in columns: young, middle-age, older) and gender (factor B in rows: male, female) are used to construct a random block experiment. For each combination, the percentage of the total bill left as a tip for 10 wait staff is examined. The following ANOVA table with alpha = 0.01 is produced. Can you conclude that there is interaction between age and gender at the 1% significance level? Are you able to conduct tests based on the main effects? If yes, conduct these tests at the 1% significance level.

Explanation / Answer

a) there is no interaction between age and gender at1% level

b-1) Yes

b-2) The mean tips differ by gender

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