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1. In a two-way ANOVA, if null hypothesis for the main effect of the column variable is rejected, then the null hypothesis for the row variable must also be rejected.
2. Variance equals the sum of squares divided by the degrees of freedom.
3. If you have exactly two groups in a between-subjects design and want to compare the means of the groups, you can use either an unpaired t test or a one-way ANOVA.
4. F tests and t tests are examples of parametric statistical tests.
5. In one-way ANOVA, the independent variable only has an effect on the within-groups variance, not on the between-groups variance.
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