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Applied Multivariate Statistics

Brief review of matrix algebra, means, covariance matrices, multivariat normal, multivariate confidence ellipses, MANOVA, Discriminant Methods, Principal Component Analysis, Factor Analysis, Multidimensional Scaling, Cluster Analyses, and other topics, depending on student interest.

Past Semesters

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Average GPA: 3.66 between 79 students

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