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1. Why are you no longer directly comparing sample means?

2. How does using the F test - the analysis of variance (ANOVA) reduce your Type I error rate?

3. What is the difference between a within-groups and a between-groups variance?

4. If F is significant, why should you follow up with a post hoc test?

5. Why don't you use post hoc tests when F is not significant?

6. What are the assumptions of the F test?

7. How is the F test an extension of the t test?

8. Why are there two df measures with this test?

9. How do you interpret the findings of an ANOVA in terms of a variance measured

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Statistics and Probability, Statistics

Category:- Statistics and Probability
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