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| Teaching Since: | May 2017 |
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| Questions Answered: | 66690 |
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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
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 a = 0.01 is produced.
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a. Can you conclude that there is interaction between a g e and gender at the 1% significance level?
b. Are you able to conduct tests based on the main effects? If yes, conduct these tests at the 1 % significance level. If no, explain.
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