PPOL-501 STATISTICAL METHODS FOR POLICY ANALYSIS
Fall for 2017-2018
This is the first course in the three-course quantitative methods sequence. The sequence is designed to increase understanding of empirical analyses — both as a consumer of empirical analyses and as a producer of such analyses. This course introduces students to descriptive and inferential statistics often used in public policy research. The course aims to provide students with a solid foundation for analyzing data, conveying analyses in convincing and appropriate ways. Topics covered include: measures of central tendency and dispersion, probability and probability distributions, random variables, hypothesis testing and confidence intervals, statistical power, correlation, simple regression, and an introduction to multivariate regression. Students use Stata (a statistical software application) to develop their data analysis skills.
Credits: 3
Prerequisites: None
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