BA 419 - Quantitative Decision Making

Credits: 3

This course is designed to build on the basics of introductory statistics so that the students understand how a variety of advanced statistical tools are used to support decision-making using business data. Students develop necessary skills to build models that conForm the assumptions of the procedures. The course aims to provide more hands on experience. The topics that will be introduced include descriptive statistics, t-tests, ANOVA, simple linear regression, multiple linear regression, logistic regression and their applications on business data.

Pre-Requisites: BA 319 or MTH 150
Repeatable: May not be repeated for credit