Data Analysis and Decision-Making

Course Description

Introduces statistics as applied to managerial problems. Emphasis is on conceptual understanding as well as conducting statistical analyses. Students learn the limitations and potential of statistics, gain hands-on experience using Excel, as well as comprehensive packages, such as SPSS®. Topics include descriptive statistics, continuous distributions, confidence intervals for means and proportions, and regression. Application areas include finance, operations, and marketing. Introduces the basic concepts of model building and its role in rational decision-making. Knowledge of specific modeling techniques, such as linear and nonlinear programming, decision analysis, and simulation, along with some insight into their practical application is acquired. Students are encouraged to take an analytic view of decision-making by formalizing trade-offs, specifying constraints, providing for uncertainty, and performing sensitivity analyses. Students form groups to collect and analyze data, and to write and present a final report. Cross-listed as 22:544:575. Prerequisite: 22:135:572 with grade of B or better.

Code

22:960:575

Credits

3

Subject

Statistics

Programs That Include This Course

• Master's M.B.A. Concentration Course Names and Descriptions
• Master's Master of Science in Healthcare Analytics and Intelligence (formerly M.S. in Healthcare Services Management)