API-209: Advanced Quantitative Methods I: Statistics

Semester: Fall

Credit: 4.0

Faculty: Dan Levy


Day Time Location
First Day 8/31
Meet Day T/Th 10:15 AM - 11:30 AM Belfer 200 Starr Aud (HKS)


The goal of this course is to prepare students to analyze public policy issues using statistics. Topics included fall in the areas of probability theory, sampling, estimation, hypothesis testing, and regression analysis. While many students taking this class will have already taken courses in statistics and regression analysis, this course will probably place a much stronger emphasis than typical courses on conceptually understanding the statistical methods. Since the course is targeted to first-year students in the MPA/ID program, we will not shy away from using the mathematical tools needed to develop the conceptual understanding. But the emphasis of the course will be on the conceptual understanding and application of the tools rather than on the math or the mechanics behind the tools.

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