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2016-2017 Undergraduate & Graduate Catalog

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STA 426 - Multivariate Data Analysis

Multivariate analysis with emphasis on application using a statistical package such as SAS or SPSS. Topics include principle components analysis, factor analysis, discriminant analysis, logistic regression, cluster analysis, multivariate analysis of variance, and canonical correlation analysis. Crosslisted with STA 526. Offered fall semester on sufficient demand. Prerequisite: STA 216.

Credits: 3



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