Difference between revisions of "MAT2313"
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==Course Catalog== | ==Course Catalog== | ||
| − | + | ''Corequisite'': [[MAT1224]]. | |
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| + | ''Content'': Permutations, combinations, multinational coefficients, inclusion/exclusion principle, axioms of probability, conditional probability, Bayes formula, independent events, discrete random variables, expected value,m variance, discrete random variables (Bernoulli, Binomial, Poisson, geometric, hypergeometric and Zeta random variables), continuous random variables (uniform, normal and other distributions), joint distributions, properties of expectations, limit theorems (Chebyshev's inequality, Central Limit Theorem, Law of Large Numbers)) Generally offered: Fall, Spring, Summer. | ||
==Description== | ==Description== | ||
Revision as of 21:38, 24 March 2023
Foundations of Mathematics (3-0) 3 Credit Hours
Course Catalog
Corequisite: MAT1224.
Content: Permutations, combinations, multinational coefficients, inclusion/exclusion principle, axioms of probability, conditional probability, Bayes formula, independent events, discrete random variables, expected value,m variance, discrete random variables (Bernoulli, Binomial, Poisson, geometric, hypergeometric and Zeta random variables), continuous random variables (uniform, normal and other distributions), joint distributions, properties of expectations, limit theorems (Chebyshev's inequality, Central Limit Theorem, Law of Large Numbers)) Generally offered: Fall, Spring, Summer.
Description
Introduction to the theory of probability, through the study of discrete and continuous random variables.
Text
- Modern Mathematical Statistics with Applications (Springer Texts in Statistics). Jay L. Devore and Kenneth N. Berk. Second Edition.
Topics List
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| 1 | Populations and Samples | N/A | Understanding of the concepts of population and sample. |
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