API-201: Quantitative Analysis and Empirical Methods





Introduces students to a range of quantitative tools that are commonly used to inform public policy issues. Provides an introduction to probability, statistics, and decision analysis emphasizing the ways in which these tools are applied to practical policy questions. Topics include: descriptive statistics, basic probability, conditional probability, Bayes' rule, decision making under uncertainty, sampling design, statistical inference, and hypothesis testing. The course also provides students an opportunity to become proficient in the use of computer software widely used in analyzing quantitative data.

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