Date Posted 
Lecture Slides 
January 15
 Introduction

January 17
 Review of Vectors and Matrices

January 22
 Visualization of Multivariate Data

January 24
 The Multivariate Normal Distribution  I

January 31
 The Multivariate Normal Distribution  II

February 5
 The Multivariate Normal Distribution  III

February 7
 Assessing Multivariate Normality 
February 12
 Inference for Means  The Hotelling's Test 
February 12
 Inference for Means  Confidence Regions 
February 14
 Inference for Means  Repeated Measures 
February 14
 Inference for Means of Two Samples 
February 26
 Multivariate Analysis of Variance  I 
February 26
 Multivariate Analysis of Variance  II 
February 28
 Multivariate Analysis of Variance  III 
March 7
 Multivariate Multiple Linear Regression 
March 7
 Principal Components  I 
March 7
 Principal Components  II 
March 28
 Discriminant Analysis  I

March 28
 Discriminant Analysis  II

April 2
 kNearest Neighbor Classification 
April 2
 Classification and Regression Trees

April 23
 Cluster Analysis 
April 23
 Modelbased Clustering

April 30
 Correspondence Analysis

April 30
 Factor Analysis
