Mathematical Statistics

(4 Credits)

Formerly numbered MATH-UA 234; the content has not changed. Prerequisite: a grade of C or better in Theory of Probability ( MATH-UA 333 ; formerly numbered MATH-UA 233) or equivalent. Not open to students who have taken Probability and Statistics ( MATH-UA 185 ; formerly numbered MATH-UA 235). Introduction to the mathematical foundations and techniques of modern statistical analysis used in the interpretation of data in 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, and analysis of variance. Applications to the sciences.