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 with a grade of C or better and/or the equivalent. Not open to students who have taken MATH-UA 235 Probability and Statistics.

Course Syllabuses or Websites by Semester