Welcome to STAT 505: Applied Multivariate Statistical Analysis

Course Overview Section

bivariate normal density plot

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.

Course Goals

Upon successful completion of this course, students should be able to:

  • Identify the need for multivariate statistical techniques
  • Recognize the appropriate multivariate method for a problem
  • Employ statistical software to conduct the appropriate analysis
  • Interpret results and make statistical inference