MAT 3250 - Applied Multivariate Statistics and Modeling with R GE

3 cr
Graded

Methods of analyzing univariate and multivariate data using R. Topics include descriptive statistics for univariate and bivariate data, basic properties of multivariate distributions, multivariate linear regression, principal component analysis for dimension reduction, factor analysis, canonical correlation analysis, discrimination and classification, and simple multiple series models.

Prerequisite(s): MAT 3230 or MAT 3135 or MAT 3260
Typically offered: Spring
General education: This course fulfills the Mathematics general education requirement.