New York University 4 credits Math
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. Prerequisites: (MATH-UA 333 with a Minimum Grade of C OR MATH-UA 338 with a Minimum Grade of C).
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