An accelerated course covering important behavioral statistical concepts including probability, sampling distributions, hypothesis resting, ANOVA, and multiple regression. Course requires usage of statistical software package and is taught using the general linear model frame- work. Prerequisite: graduate status and one course in undergraduate statistics. Fall term annually. 4 credit hours