QS435 - Multivariable Systems Analysis

This course is directed to the application major in the areas of applied mathematics, quantitative sciences, marketing, economics, and others that need a firm foundation in multivariable statistics with applications. The course includes a brief introduction to hypothesis testing and internal estimation, simple and multiple regression analysis techniques, model building using classical stepwise regression, forward selections, backward elimination, auto correlation and Durbin-Watson tests. Multiple regression and factor analysis techniques applied to analysis of variance and experimental design are emphasized. Applications to sample survey, sampling techniques, and sample size calculation via power analysis in econometrics and market research cases are developed throughout the course. Software proficiency in word processing is required.
Prerequisite -- QS312 and a computer language.
3 Credits