MACT 3211 - Applied Probability (3 cr.)
Prerequisites or concurrently.
Description Sample space, probability axioms, combinatorial techniques, conditional probability, independence and Bayes’ theorem. Random variables. Distribution functions, moments and generating functions. Discrete probability distributions. Continuous probability distributions. Discrete joint distributions. Continuous Joint distributions. Applications of probability in the social and engineering sciences.
When Offered Offered in fall and spring.
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