QBA 260 Data Driven Decision Making

Fall and Spring Semesters

This is an introductory course in statistics, the study of proper methods of presenting data and of interpreting sample data based on probability theory. Coverage includes descriptive statistics, probability and probability distributions, and interval estimation and hypothesis testing of means and proportions. A statistical software package is introduced in this course. Prerequisite: IFS 105, MAT 102 or MAT 105 or MAT 120 or MAT 171

3 credit hours