At the end of Stat 666 the student will be able to:

Demonstrate understanding of multivariate random vectors and their distributions

Use basic principles of probability, statistics, and linear algebra to motivate:

• the comparison of mean vectors
• multivariate regression and canonical correlation
• principal component analysis and factor analysis
• classification and clustering

Produce a complete analysis of appropriate multivariate data using SAS and R

Take a multivariate data analysis "consulting" project and

• Indentify appropriate statistical approaches to address the clients problem
• Carry out a thorough and meaningful analysis of the data
• Clearly and effectively defend and communicate their approach and findings to their client in a report