| MATH 682 - Statistical Inference. | 
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Conditional probability and Bayes’ Theorem, discrete and continuous univariate and multivariate distributions, conditional distributions, moments, independence of random variables. Modes of convergence, weak law of large numbers, central limit theorem. Point and interval estimation. Likelihood inference. Bayesian estimation and inference. Hypothesis testing.
 Prerequisite: MATH 141 or equivalent Restrictions: Not open to students who have taken MATH 324, MATH 357, MATH 557. Intended for graduate students working on quantitative research questions related to life sciences who have had differential and integral calculus. 4.000 Credit hours Schedule Types: Lecture, Final Exam Graduate Studies Mathematics and Statistics Department Restrictions: May not be enrolled in one of the following Levels: Dentistry/Law/Medicine Undergraduate May not be enrolled in one of the following Faculties: Fac Dental Medicine & Oral HS Faculty of Medicine & Hlth Sci School of Continuing Studies  | 
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