The article discusses different distributions related to multivariate normal distributions, such as the noncentral chi-square, student's t-, and f-distributions. It explains how a random matrix with specific properties follows a Wishart distribution. This distribution is crucial in analyzing multivariate data. The generalized variance of a multivariate normal distribution is important in statistical tests involving means and covariance matrices.