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Spring Sem 2019
05-May-2024
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Information Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.

MATH 425 - Statistics
Standard statistical distributions, independence of mean and variance for a Gaussian sample, basic limit theorems; point and interval estimation, tests of statistical hypotheses, Neyman-Pearson theorem; likelihood ratio and other parametric and nonparametric tests. (RE) Prerequisite(s): 423.
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Lecture

Mathematics Department


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