608 Statistics for Public Policy
University of Massachusetts Amherst
This is an introductory statistical course designed for public policy students to analyze and solve statistical problems in the real world. The goal of this course is to familiarize students with a number of statistical techniques commonly used for analyzing different types of policy data. Throughout the course, it emphasizes two crucial aspects of students’ learning: 1) statistical analysis for policy data, and 2) presentation and interpretation of statistical results. While the course will cover some basic theory behind the majority of the statistical methods, it will focus mostly on their applications. Students will learn when each statistical test should be used and the assumptions behind each test. In addition, students will learn how to describe and interpret the output of the analyses that they run. The free R open source software will be used for this course for conducting statistical analysis and data visualization.
Zoom Link | Thur 5:30 - 7:00pm
Zoom Link | Thur 4-5:00pm
Teaching Team and Contact
|Instructor||Viviana Chiu Sik Wu, Ph.D.||Thompson 628|
|TA (Grading)||Adrienne Nunez|
There will be no required textbook for this class; however, here are some textbooks and resources for your reference.
|R for Data Science||Grolemund & Wickham||O'Reilly, 1st edition, 2016|
|R cookbook||Long & Teetor||O'Reilly Media, 2019|
|Introduction to Econometrics with R||Hanck et al.||2019|
|R for social and behavioral science statistics||Wickham & Grolemund||SAGE Publications, 2020|