DASC 421 Advanced Statistical Methods

Students will analyze linear models using matrices and see how the general principles apply in various data settings. Topics include analysis of covariance, multivariate analysis of variance, discriminant analysis, factor analysis, model selection, stepwise regression, and logistic regression. Students will use SAS® and R to analyze data, work individually and in groups to analyze real-world data, and write summaries of the outcomes of these analyses appropriate for various audiences. Fulfills Writing in the Major for the Department of Computing, Mathematics & Physics.