MULTIVARIATE ANALYSIS

Graduate

This course deals with the statistics of observation and analysis of more than one output variable. Topics include estimation and hypothesis testing for multivariate normal data, principal component analysis and factor analysis, discriminant analysis, cluster analysis, and correspondence analysis. Graduate students will be required to demonstrate mastery of the course topics through appropriate visualization, analysis, and interpretation of complex data sets selected to answer novel questions. This course is cross-level listed with Stat 4740. Credit cannot be received for both MCS 8740 and Stat 4740. PREREQUISITE: Admission to a graduate program in Science HOURS OF CREDIT: 3