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The table below shows the productivity scores of 12 employees in a company. The researcher wants to know if the scores vary according to age
The table below shows the productivity scores of 12 employees in a company. The researcher wants to know if the scores vary according to age group (Group 1: 21-30 years, Group 2: 31-40 years, and Group 3: 31-40 years) and gender.
Productivity Scores | Age Group | Gender |
75 | Group 1 | Male |
69 | Group 1 | Male |
81 | Group 1 | Female |
72 | Group 1 | Female |
88 | Group 2 | Male |
92 | Group 2 | Male |
68 | Group 2 | Female |
77 | Group 2 | Female |
56 | Group 3 | Male |
83 | Group 3 | Male |
76 | Group 3 | Female |
65 | Group 3 | Female |
Tasks:
- Defend the type of ANOVA you will apply to respond to the researcher’s question.
- Create suitable null and alternative hypotheses.
- Perform the analysis using Minitab. Copy and paste the results to your response document.
- Justify your conclusions on the difference in average productivity scores between age groups, between males and females and the interaction effect between age group and gender.
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