Matrices.Partitioned. Matrices.Quadratic Forms. Solution of Linear Equations. Eigenvalues and
Eigenvectors. Random Vectors.Normal distribution:univariate, bivariate and multivariate cases.The
Wishart Distribution. Hotelling’s T-Square Distribution. Assessing the Normality
Assumption.Multivariate Plots.Inference for the Mean. Principle Component Analysis:Principle
Components.Factor Analysis. Classification and Discrimination Analysis. Two Population Problem.
Cluster Analysis and Multidimensional Scaling:Similarity Measures. Hierarchial and Non-hierarchial
Clustering Methods. Conjoint Analysis.
