BSAN-314: Statistics for Analytics

Credits 3.0
Academic Level
Undergraduate

This course introduces advanced multivariate regression analysis and residual diagnostics, logistic regression, analysis of variance (ANOVA and MANOVA), time series models, and analysis of categorical variables. Business applications involving multiple explanatory and response variables require advanced statistical models that go beyond the basic inferential tools (e.g., confidence intervals and hypothesis tests). Fall even years. Prerequisite: BUSN 270; must be a junior or senior or have permission from the instructor.