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Applied Multivariate Methods


Course Description

Application of multivariate statistical methods to solve marketing problems. Introduction to multivariate statistical computer programs.


Athena Title

Applied Multivariate Methods


Prerequisite

Permission of department


Semester Course Offered

Offered every year.


Grading System

A - F (Traditional)


Course Objectives

This course is designed to introduce basic multivariate statistical techniques with primary focus on applications to Business. Applications to Marketing will be emphasized. Theoretical details will be somewhat minimal and emphasis will mainly be on data analysis and interpretations. We will use SAS (Statistical Analysis System) statistical software for data analysis. SAS programs will be taught as a part of the course.


Topical Outline

Introduction to Vectors and Matrix algebra Introduction to Multivariate Data Principal Component and Factor Analysis Cluster Analysis Multidimensional Scaling Correspondence Analysis Discriminant Analysis Logistical Regression and Conjoint Analysis


Syllabus


Public CV