Applied Multivariate Methods

3 credits · Undergraduate

(3 hrs Lecture) This course introduces students to the concepts and procedures of multivariate statistical analysis. Analysis and interpretation of multivariate data are emphasized. Topics include: matrix algebra, random vectors from two populations, multivariate analysis of variance, discriminant analysis, cluster analysis, and one of the following topics: factor analysis, canonical correlation analysis, correspondence analysis. R statistical software is used to facilitate most analyses. Requisite Courses: MATH-1201 and either STAT-1302 or STAT-2001 [prerequisite(s)].