STAT 175 Analysis of Multivariate Data
Topics in this course include analysis of data from multivariate normal populations, profile analysis, multivariate analysis of variance, multivariate regression analysis, correlations, path analysis, discriminant analysis, principal components analysis, factor analysis, and cluster analysis. The goal is for students to have a working knowledge of statistical methods in the analysis of multivariate data. The prerequisite course is STAT 101 Statistical Methods.
This 3-unit course, offered every first semester to BS Statistics students, may also be taken by other students. The class meets five hours a week, two hours in the lecture and three hours in the laboratory.