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Mar 28, 2024
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2016-2017 [ARCHIVED CATALOG]
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MAT 340 - Probability Instructor
Staff
A study of probability theory relative to both discrete and continuous probability laws. Topics include independence and dependence, mean, variance and expectation, random variables, jointly distributed probability laws, Chebysheff’s Inequality and a version of the Central Limit Theorem. Applications of probability theory are approached through a variety of idealized problems.
Prerequisites & Notes Mathematics 140 or 160. (Fall)
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