STAT 5401: Applied Multivariate Methods

3 CreditsOnline Available

Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.

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A- Average (3.778)Most Common: A (71%)

This total also includes data from semesters with unknown instructors.

379 students
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  • 4.52


  • 4.27


  • 4.08


  • 4.41



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