University of Chicago, Harris School of Public Policy (Harris)
PPHA-3100: Statistics for Public Policy I
Description: This course aims to provide a basic understanding of statistical analysis in policy research. Fundamental to understanding and using statistical analysis is the realization that data does not emerge perfect and fully formed from a vacuum. An appreciation of the provenance of the data, the way it was collected, why it was collected, is necessary for effective analysis. Equally important is an understanding of the nature of the statistical inference being attempted the course will distinguish between model-based and design-based inference. There will be some emphasis placed on sampling from finite populations and on data from survey research. The emphasis of the course is on the use of statistical methods rather than on the mathematical foundations of statistics. Because of the wide variety of backgrounds of participating students, the course will make no assumptions about prior knowledge, apart from arithmetic. For students with a strong technical background, the aim of the course is to increase their understanding of the reasoning underlying the methods, and to deepen their appreciation of the kinds of substantive problems that can be addressed by the statistical methods described. PP31000 or PP31200 required of all first-year students.
Faculty: Ben Keys
Source: Syllabus downloaded from http://harrisschool.uchicago.edu/course-description/31000/statistics-public-policy-i , 3 April 2014.