Analysis of Variance
The sum-of-squares decomposition and what each mean square estimates; the F-test and its equivalence to the two-sample t-test; which assumptions matter and why; Tukey, Bonferroni, contrasts and Scheffe for multiple comparisons; two-way designs and interaction; fixed versus random effects and variance components; and ANOVA as a linear model with indicator predictors.0/15 mastered