Application of analysis of variance typical in psychology and related disciplines. Introduction to the general linear model. Foundations of experimental design, probability, inference. Topics include: one factor ANOVA, factorial ANOVA with two- and three-way interactions, trend analysis, within-subjects designs, analysis of covariance, effect size and power estimation. Equips students to apply, interpret, and report results of ANOVA. Training in the use of SAS statistical computing system. Mandatory weekly lab sessions. Assumes undergraduate statistics course; understanding of basic statistical concepts. Consent of instructor required.