Volgenau School of Engineering
George Mason University
George Mason University Mason
George Mason University

STAT 462: Applied Multivariate Statistics

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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 anal sis. Extensive use of statistical software.

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Credits: 3

Prerequisites:

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