POL 345: Quantitative Analysis and Politics



What accounts for who votes and their choice of candidate? Would universal health insurance improve the health of the poor? Researchers and policy makers use statistics to answer these questions. However, the validity of their conclusions depends upon underlying assumptions and correct application of statistical methods. The course will introduce basic principles of statistical inference and programming skills for data analysis. The goal is to provide students with the foundation necessary to analyze data in their independent research at Princeton and to become a critical consumer of news articles and academic studies that use statistics. Download the syllabus.
My preceptors and I put a lot of efforts into this course in order to ensure that students have the best learning experience. In the past, preceptors from this course have won the Association of Princeton Graduate Alumni Teaching Award and the George Kateb Prize for Best Preceptor in Politics for their talent and commitment.

  Lecture Slides

Introduction to Statistics
Descriptive Statistics
Statistical Inference

  Precept Handouts

Information Session
Handout 1 and Precept 1
Handout 2 and Precept 2
Handout 3 and Precept 3
Handout 4 and Precept 4
Precept 5
Handout 6 and Precept 6
Handout 7 and Precept 7
Handout 8 and Precept 8
Handout 9 and Precept 9
Handout 10 and Precept 10
© Kosuke Imai
 Last modified: Fri Nov 30 10:12:29 EST 2012