MAT 367 Multivariate Analysis
3 hours
Multivariate statistical analysis refers to techniques for examining relationships among multiple variables at the same time. In this course students will study a variety of standard statistical methods used to analyze multivariate data, emphasizing the implementation and interpretations of these methods. Topics covered include matrix computation of summary statistics, graphical techniques, the multivariate normal distribution, MANOVA, principal component analysis, factor analysis, and other topics such as canonical correlation and cluster analysis. Students will use the R statistical computing package for data analysis.