EC 14
Statistics for Quantitative Economics
Mathematical statistical techniques used in econometric analysis. Topics include probability theory, discrete and continuous random variables and their joint distributions, sampling and estimation, hypothesis testing, rudiments of statistical programming, and brief introduction to the theory of linear regression. Foundation course for students pursuing the quantitative economics major track. Economics 13 and Economics14 may not both be taken for credit. Prerequisites: Economics 5 or Economics 8; and Mathematics 34 or Mathematics 39 or above.
Topics
- probability theory
- discrete and continuous random variables and their joint distributions
- sampling and estimation
- hypothesis testing
- rudiments of statistical programming
- and brief introduction to the theory of linear regression
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗Current public catalogue; retrieved 2026-11-05