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 making inferences for populations from sample data via (a) estimation with confidence intervals, (b) hypothesis tests, and (c) forecasting with simple and multiple regression. Decision modeling of organizational systems uses mathematical and computer models to provide a quantitative approach to analyzing and solving complex decision problems. This course includes an introduction to linear programming models and applications, queuing models, and simulation models.

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.