MATH-UA 234 Mathematical Statistics
4 points. Fall and Spring terms.
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.
MATH-UA 233 Theory of Probability with a grade of C or better and/or the equivalent. Not open to students who have taken MATH-UA 235 Probability and Statistics.