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Sep 27, 2024
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2007-2008 [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 Prerequisite: Mathematics 135. (Fall)
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