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2018-2019 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. Cross-listed with STA 526. Offered fall semester on sufficient demand. Prerequisite: STA 216.

Credits: 3



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