By the end of the course students will be able to: Perform simple graphical representations of multivariate data. Statistical methods for situations in which there is more than one response variable. We will develop multivariate extension of t-tests and analysis of variance procedures. Since these extensions are based on the multivariate normal distribution, we will briefly explore properties of the multivariate normal distribution. We will explore ordination techniques for selecting low dimensional summaries of high dimensional data. These include principal component analysis, factor analysis, canonical correlations, correspondence analysis, projection pursuit, multidimensional scaling and related graphical techniques.
Graduate
