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2013-2014 Undergraduate & Graduate Catalog
STA 416 - Multivariate Data Analysis
Multivariate analysis with emphasis on application using a statistical package such as SAS or SPSS. Topics include principal components analysis, factor analysis, discriminant analysis, logistic regression, cluster analysis, multivariate analysis of variance, and canonical correlation analysis. Offered fall semester on sufficient demand. Prerequisite: STA 216.
Credits: 3