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PLCY610 Quantitative Analysis of Policy Issues
3 Credit(s)

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.
Schedule of Classes

Faculty: Michael Busse