Probabilistic modeling and statistical techniques relevant for economics. Concepts include: probability trees, conditional probability, random variables, discrete and continuous distributions, correlation, central limit theorems, point estimation, hypothesis testing and confidence intervals for both one and two populations. Prerequisite: MATH 20 or equivalent. Students should enroll in the lecture section ONLY. Discussion sections will be assigned later. Department consent is required for the discussion section enrollment.
5 units · Letter or Credit/No Credit · GER: WAY-AQR, WAY-SI
Probabilistic modeling and statistical techniques relevant for economics. Concepts include: probability trees, conditional probability, random variables, discrete and continuous distributions, correlation, central limit theorems, point estimation, hypothesis testing and confidence intervals for both one and two populations. Prerequisite: MATH 20 or equivalent. Students should enroll in the lecture section ONLY. Discussion sections will be assigned later. Department consent is required for the discussion section enrollment.
Offered in Autumn 2025, Winter 2026 at Stanford University.