STAT 1491 Multivariate Data Analysis for Business
This course presumes that a basic statistics course has been taken. The course will attempt to review some fundamental multivariate procedures that are often used in the social science and business environments. The course will begin with a review of options of dealing with missing data and outliers. The assumptions of multivariate analysis will be explained. Quantitative procedures such as multiple regression, discriminate analysis, and conjoint analysis will be discussed. The analysis of qualitative data through log-linear models will then be reviewed. A data set will be provided with which these techniques will be applied.