This course provides a conceptual and applied introduction to quantitative social sciences methodology. We will discuss the formal statistical formulation and practical applications of techniques of statistical data analysis. Concepts covered include basics of probability, estimation theory, statistical inference, ANOVA, correlation, and regression analysis. Students will gain practical experience analyzing their own data and interpreting results. We will devote substantial time to "learning by doing" using statistics software. Students will use the Stata programming language to learn the basics of programming, generate data, manipulate real-world datasets, and conduct statistical analysis. Core course so enrollment is limited to MIP students
5 units · Letter (ABCD/NP)
This course provides a conceptual and applied introduction to quantitative social sciences methodology. We will discuss the formal statistical formulation and practical applications of techniques of statistical data analysis. Concepts covered include basics of probability, estimation theory, statistical inference, ANOVA, correlation, and regression analysis. Students will gain practical experience analyzing their own data and interpreting results. We will devote substantial time to "learning by doing" using statistics software. Students will use the Stata programming language to learn the basics of programming, generate data, manipulate real-world datasets, and conduct statistical analysis. Core course so enrollment is limited to MIP students
Offered in Autumn 2026 at Stanford University.