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A career consultant wants to determine whether there is an interaction between gender (male or female) and employment (private employees or civil servants) for the
A career consultant wants to determine whether there is an interaction between gender (male or female) and employment (private employees or civil servants) for the average monthly salary. The consultant obtained the data and produced an incomplete two-way ANOVA table as follows:
Source of Variation | SS | df | MS | F |
Gender | 11,44 | |||
Field Work | 156,468 | |||
Interaction | ||||
Error | 3,853 | |||
Total | 277,045 | 19 |
Requirement:
- Complete the ANOVA table.
- At the 5% significance level, can you conclude that there is an interaction between gender and employment?
- Can you test the main effects? If so, perform the test at the 5% significance level.
- Why is a two-way ANOVA (with or without interaction) preferable to two two-sample T-tests in this situation?
Please if can, can you provide the answer in excel/spreadsheet
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