MAT 3250 - Applied Statistics

3 cr

Methods of analyzing univariate and multivariate data using statistical packages including Minitab, SPSS, and SAS. 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.
This course fulfills the Scientific and Mathematical Understanding Frame of Reference.
Prerequisite: MAT 2022 or MAT 3230 .
Every Semester