STAT 462 Applied Multivariate Statistics

Prerequisite: STAT 350, 354 or 435.

Course Description: Introduces a variety of multivariate statistical methods as aids to analyzing and interpreting large data sets. These methods will have general applications across a wide range of disciplines. Topics include: principal components analysis, cluster analysis, discriminant analysis, multi-dimensional scaling, correspondence analysis, and canonical correlation analysis. Extensive use of statistical software.Offered by Statistics. Limited to two attempts.

Students with the terminated from VSE major attribute may not enroll.