Statistics and Decision Modeling

3.00 credit hours

This course provides the foundations of statistical and operations research methodologies for managerial decision-making. Topics covered include using sample data to (a) estimate quantities of interest and create confidence intervals, (b) perform hypothesis tests, and (c) make forecasts with simple and multiple regression. Decision modeling involves using mathematical models to provide a quantitative approach to analyzing and solving complex decision problems and includes an introduction to linear and integer programming models and applications, queuing models, and simulation models, all solved by appropriate computer software packages.

Sample Syllabus (login required)

Daniel Solow (Fall 2018)

NOTE: Instructors and offerings vary by semester. Visit the Schedule of Classes for the most up-to-date information.