STAT 505: Applied Multivariate Statistical Analysis

Students completing this course should be able to:

• Select appropriate methods of multivariate data analysis, given multivariate data and study objectives;
• Write SAS and/or Minitab programs to carry out multivariate data analyses;
• Interpret results of multivariate data analyses.

This is a graduate level 3-credit, asynchronous online course. In this course we will examine a variety of statistical methods for multivariate data, including multivariate extensions of t-tests and analysis of variance, dimension reduction techniques such as principal component analysis, factor analysis, canonical correlation analysis, and classification and clustering methods.