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MAT 222 Applied Multivariable Statistical Methods

Prerequisite: A grade of "C-" or better in MAT 116 or MAT 117 or MAT 134 or MAT 234 Course Description: Review of single variable regression analysis; multiple regression models; multiple, partial, and multiple-partial correlations, analysis of variance, analysis of covariance, factor analysis, discriminant analysis; applications to management, and the social, biological and behavioral sciences.

Credits

3 credits

Prerequisite

MAT 117 Minimum Grade of C- or MAT 134 Minimum Grade of C- or MAT 141 Minimum Grade of C- or MAT 142 Minimum Grade of C- or MAT 143 Minimum Grade of C- or MAT 234 Minimum Grade of C-