Course Detail Information

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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.


3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture, Tutorial

Mathematics Department

Course Attributes:
Inquiry and Exploration

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate

Prerequisites:
Undergraduate level MAT 116 Minimum Grade of C- or Undergraduate level MAT 117 Minimum Grade of C- or Undergraduate level MAT 134 Minimum Grade of C- or Undergraduate level MAT 234 Minimum Grade of C-