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Sep 24, 2024
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MACT 306 - Applied Probability
Description
Sample space, probability axioms, combinatorial techniques, conditional probability, independence and Bayes’ theorem. Random variables. Distribution functions, moments and generating functions. Some probability distributions. Joint distribution, the Chebychev inequality and the law of large numbers. The central limit theorem and sampling distributions. Applications of probability in the social, biological, and engineering sciences.
Prerequisites
or concurrently.
When Offered
Offered once a year.
(3 cr.)
Check course scheduling information
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