statistics

The objective of this course is to provide a foundation in statistics and their application to questions in public policy and social science research.

Policy makers have long relied on quantitative analysis to inform their decision-making, and recent advances in data gathering and in computing have made quantitative analysis even more prevalent.

The objective of this course is to provide a foundation in statistics and their application to questions in public policy and social science research.

Policy makers have long relied on quantitative analysis to inform their decision-making, and recent advances in data gathering and in computing have made quantitative analysis even more prevalent.

If you waived out of or did not take PubPol 529, please contact [email protected] to enroll in this course.

If you waived out of or did not take PubPol 529, please contact [email protected] to enroll in this course.

This is a core course restricted to Ford School students only.

This is a core course restricted to Ford School students only.

Discussion section: Fridays, 1:00-2:30 pm in room 1110 Weill. 

This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.

This course serves as an introduction to qualitative methods for MPP/MPA students.

This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.

This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research.

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 introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research.

This course serves as an introduction to qualitative methods for MPP/MPA students.

This introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research.

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 introduction to program evaluation and multiple regression analysis trains students to critically consume empirical studies and conduct their own empirical research.

This course serves as an introduction to qualitative methods for MPP/MPA students.

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.