STAT 3351 Multivariate Analysis
The course covers the theoretical foundations of the topic. Multivariate data typically consist of many records, each with readings on two or more variables, with or without an "outcome" variable of interest. Procedures covered in the course include multivariate analysis of variance (MANOVA), principal components, factor analysis and classification.
Prerequisite
MATH 2318 and STAT 3301 both with grade of 'C' or better.