Model Comparison

After completing this module, you should be able to ...

1. Articulate major differences between all simple and full models.
2. Explain what the simple and full models are, including graphically demonstrating, for a 2-Sample t-Test.
3. Explain what SS_Total, SS_Within, and SS_Among measure (and what they are measured from).
4. Explain what happens to SS_Among as the difference in means increases.
5. Explain what df_Total, df_Within, and df_Among measure (and what they are measured from).
6. Describe how "noise variances" are measured.
7. Describe how "signal variances" are measured.
8. Explain how an F test statistic is calculated and provide two explanations for what the F test statistic measures.
9. Identify df_Among, df_Within, df_Total, SS_Among, SS_Within, SS_Total, MS_Among, MS_Within, the F test statistic, and the p-value in an ANOVA table.