MKTG-6264: Applied Multivariate Statistics for Business Research

Description: The underlying mathematics of multivariate statistical methods and illustrative research applications in the business disciplines. Topics include multivariate distributions, analysis of multivariate hypotheses; general linear models including regression and analysis of variance; supervised and unsupervised approaches to classification; dimension reduction and exploratory data analysis and confirmatory data analysis using structural equation models. Pre: Graduate standing.

Pathways: N/A

Course Hours: 3 credits

Corequisites: N/A

Crosslist: N/A

Repeatability: N/A