608 Statistics for Public Policy
University of Massachusetts Amherst
A Stat-astic Class!
School of Public Policy
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 theories 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. This course is designed around the concepts of flipped classroom, collaborative and experimental learning, with plenty of hands-on exercises and problem-solving on a project basis. The free R open-source software will be used for this course for conducting statistical analysis and data visualization.
Machmer Hall room W-26 | Tue/Thu 11:30AM - 12:45PM
Thompson 628 (By appointment) | Zoom Link |
Machmer Hall room W-24 | Thursday 2:30PM - 3:30PM
Office Hour for Lab
| Thu 3:30-4:30pm
Teaching Team and Contact
|Instructor||Viviana Chiu Sik Wu, Ph.D.||Thompson 628|
|TA (Lab & Grading)||Stephanie Gendron, MPPA 2023|
There will be no required textbook for this class besides the lecture slides and RPubs lab notes; however, here are some textbooks and resources for your reference.
|Introduction to Econometrics with R||Hanck et al.||2019|
|R for Data Science||Grolemund & Wickham||O'Reilly, 1st edition, 2016|
|R cookbook||Long & Teetor||O'Reilly Media, 2019|
|R for social and behavioral science statistics||Wickham & Grolemund||SAGE Publications, 2020|
|Applied Statistics with R in PDF||David Dalpiaz||2023|