MATH-UA 234 Mathematical Statistics
4 points. Fall and Spring terms.
Course Description
An introduction to the mathematical foundations and techniques of modern statistical analysis for the interpretation of data in the quantitative sciences. Mathematical theory of sampling; normal populations and distributions; chi-square, t, and F distributions; hypothesis testing; estimation; confidence intervals; sequential analysis; correlation, regression; analysis of variance. Applications to the sciences.
Prerequisites
- MATH-UA 233 Theory of Probability or MATH-UA 238 Honors Theory of Probability with a grade of C or higher
Anti-requisites
- MATH-UA 235 Probability & Statistics