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MATH 422. Statistical Theory II. 3 Credits.

Discrete and continuous random variables, expectation, moments, moment generating functions, properties of special distributions, introduction to hypothesis testing, sampling distributions, Central Limit Theorem, curve of regression, correlation, empirical regression by least squares, maximum likelihood estimation, Neyman-Pearson lemma, likelihood ratio test, power function, chi-square tests, change of variable, "t" and "F" tests, one and two-way ANOVA, nonparametric methods. Prerequisite: MATH 421. S.

Mathematics

http://und-public.courseleaf.com/graduateacademicinformation/departmentalcoursesprograms/mathematics/

...9 hours of which MATH 421 Statistical Theory I and MATH 422 Statistical Theory II...

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