A review of probability, descriptive statistical inference, and hypothesis testing; basic bivariate and multivariate OLS models; non-linear regressions and interactions effects; heteroskedasticity; and autocorrelation. Includes an introduction to statistical software. Usually Offered: fall, spring, and summer.
