Recommended - A- or higher in augmented PubPol 639: Quantitative Methods for Program Evaluation - Non Ford School Students contact the instructor for evaluation / permission.
This course developed from an initiative of the International Policy Students Association (IPSA) at the Ford School of Public Policy. It will be in two parts.
This course will provide students with a practical hands-on instruction in the analysis of survey data using the statistical package Stata. Students will learn how to investigate a variety of public policy issues using data from the U.S.
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, chi-squared, F), sampling distributions, confidence intervals, and hypothesis testing.
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.
This section explores the politics of policymaking processes in a comparative perspective. Students will learn how these processes are shaped by economic, social, cultural, and institutional factors.
This course will provide students with a practical hands-on instruction in the analysis of survey data using the statistical package Stata. Students will learn how to investigate a variety of public policy issues using data from the U.S.
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.
This section explores the politics of policymaking processes in a comparative perspective. Students will learn how these processes are shaped by economic, social, cultural, and institutional factors.
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.
This course will provide students with a practical hands-on instruction in the analysis of survey data using the statistical package Stata. Students will learn how to investigate a variety of public policy issues using data from the U.S.
This course will provide students with a practical hands-on instruction in the analysis of survey data using the statistical package Stata. Students will learn how to investigate a variety of public policy issues using data from the U.S.
This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.