1. Introduction -- 2. Matrix Algebra -- 3. Characterizing and Displaying Multivariate Data -- 4. The Multivariate Normal Distribution -- 5. Tests on One or Two Mean Vectors -- 6. Multivariate Analysis of Variance -- 7. Tests on Covariance Matrices -- 8. Discriminant Analysis: Description of Group Separation -- 9. Classification Analysis: Allocation of Observations to Groups -- 10. Multivariate Regression -- 11. Canonical Correlation -- 12. Principal Component Analysis -- 13. Factor Analysis -- 14. Cluster Analysis -- 15. Graphical Procedures -- C. Data Sets and SAS Files