MATH 5750 Multivariable Statistical Analysis

Multivariate statistical techniques are important tools of analysis in all fields of science and business. In addition, they play key roles in the fundamental disciplines of the social science: Economics, Psychology, Sociology, etc. This course is designed to provide students with a working knowledge of the basic concepts underlying important multivariate techniques. The course will address both the underlying mathematics and problems of applications. As such, a reasonable level of competence in both statistics and mathematics is essential. Principles of multivariate statistics in general are those of multiple regression, discriminant function analysis, multivariate analysis of variance (MANOVA) and canonical correlation. Knowledge of statistical packages is essential for this course to fully understand the procedures of multivariate statistics.

Prerequisite(s): MATH 5720 or Departmental approval.
Credits: 3.0