Question
A career counselor wants to determine if there is an interaction between gender (male or female) and sector (private or public) on average weekly income.
A career counselor wants to determine if there is an interaction between gender (male or female) and sector (private or public) on average weekly income. The counselor obtains data and produces the following incomplete two-way ANOVA table.
Source of Variation | SS | df | MS | F |
Gender | 11.44 | |||
Sector | 156,468 | |||
Interaction | ||||
Error | 3,853 | |||
Total | 277,045 | 19 |
a. Complete the ANOVA table.
b. At the 5% significance level, can you conclude there is interaction between gender and sector?
c. Are you able to conduct tests on the main effects? If yes, conduct these tests at the 5% significance level.
d. Why is a two-way ANOVA (with or without interaction) preferable to two two-sample T-tests in this situation?
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