This course reviews univariate and bivariate descriptive and inferential statistics, focuses on ordinary least squares multivariate regression (including statistical control, path analysis, dummy variables, interaction effects, nonlinear relationships, and regression assumptions), and introduces the generalized linear model (binary logistic regression). Emphasis is on the application of these methods to social science data.