Analysis of Variance (ANOVA) can be used to detect average group differences. In the context of [[experimental design]], ANOVA can be used to ask if there are differences with respect to the mean of a continuous variable across treatments/groups. ANOVA answers the question "are there differences with respect to the mean of a continuous variable across treatment groups?" [[One-way ANOVA]] uses a single, discrete categorical variable, known as a [[factor]]. [[Two-way ANOVA]] uses two discrete, categorical variables. The related [[ANCOVA]] answers the question "are there differences with respect to the mean of a continuous variable across treatment groups while controlling for other continuous variables?" [[F-test in ANOVA]] [[ANOVA in R]] [[planned comparisons]] [[post-hoc comparison]] [[familywise error rate]] [[contrast]] [[comparisons in one-way ANOVA]] [[Tukey method]] [[Bonferroni correction]] [[power analysis in ANOVA]] [[two-way ANOVA as linear regression model]] [[interaction plot]] [[two-way ANOVA with interaction term hypothesis testing]]