New York University 4 credits Mathematics
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. Use of Matlab for doing computations of the statistical measures listed above. | Prerequisite: MA-UY 3014 or MA-UY 3514. Anti-requisite: MA-UY 2224 Prerequisites: MA-UY 3014 or MA-UY 3514.
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