Statistics

An applied graduate level course in multiple regression and analysis of variance for students who have completed an undergraduate level course in basic statistical methods.  Emphasis is on practical methods of data analysis and th eir interpretation.  Covers model building, general linear hypothesis, residual analysis, leverage and influence, one-way anova, two-way anova, factorial anova.  Primarily for doctoral students in the managerial, behavioral, social, and health sciences.