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MATH 320 - Probability |
Probability theory for discrete and continuous sample spaces, random variables, density functions, distribution functions, marginal and conditional distributions, mathematical expectation, moment-generating functions, common distributions, sampling distribution theory, central limit theorem, t, chi-square, and F distributions. Prerequisite: C- or better in MATH 166 or permission of the department chairperson.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Independent Study, Study Abroad, Online (Asynchronous) Mathematical Sciences Department |
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