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PPOL-508 STATISTICAL METHODS FOR POLICY ANALYSIS
Fall only
This course introduces students to research methods and to descriptive and inferential statistics that are 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, and developing further statistical skills. Thus, the emphasis is on understanding research questions, describing data, and developing a core understanding of the scientific method in social science research. Topics covered include: causality, a brief introduction to experimental and nonexperimental research designs, measures of central tendency and dispersion, probability and probability distributions, hypothesis testing and confidence intervals, ANOVA, Chi-Square, correlation, simple regression, and a brief introduction to multiple regression. Students use SAS (a statistical software application) to develop their data analysis skills.
Credits: 3
Prerequisites: None
Course syllabi
The following syllabi may help you learn more about this course (login required):
Fall '09:
Hill C
(file download)
Additional syllabi may be available in prior academic years.
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Other academic years
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