PLCY 610
Quantitative Aspects of Public Policy
Introduces statistical methods needed for evaluating and choosing among policy options. Topics include probability; decision-making under uncertainty; the organization, interpretation, and visual display of complex data; prediction and inferences about causality; hypothesis testing; and linear and multiple regression. Develops analytical skills and the ability to apply theory to complex, real-world problems.
Topics
- probability
- decision-making under uncertainty
- the organization
- interpretation
- and visual display of complex data
- prediction and inferences about causality
- hypothesis testing
- and linear and multiple regression
Topics explicitly listed in official catalogue description
Prerequisites & course information
Restriction: Must be in a major in PLCY-School of Public Policy; or permission of PLCY-School of Public Policy. Credit Only Granted for: PLCY610 or PUAF610. Formerly: PUAF610.
Sources
- Course catalogue ↗2026-2027