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Fall 2019
Nov 03, 2025
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MATH 682 - Statistical Inference.
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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