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MATH 510 Applied Probability and Statistics I 3.0 Credits

Covers basic concepts in applied probability; random variables, distribution functions, expectations, and moment generating functions; specific continuous and discrete distributions and their properties; joint and conditional distributions; discrete time Markov chains; distributions of functions of random variables; probability integral transform; and central limit theorem.

College/Department: College of Arts and Sciences
Repeat Status: Not repeatable for credit

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