MATH 361 Probability and Mathematical Statistics

4 semester hours

Probability and statistics with an emphasis on mathematical techniques of analysis. Probability topics include: sample space, basic probability rules, conditional probability, independence, Bayes theorem, density and cumulative distribution functions, expectations, law of large numbers, Central Limit Theorem, functions of random variables, and stochastic modeling. Statistics topics include: sampling distributions, point and interval estimation, and mathematical methods of hypothesis testing. Additional topics may include stochastic simulation, bootstrapping, Bayesian inference, and regression.
Prerequisites: MATH 132 and (MATH 181 or CMSI 1010 or ENGR 160).

University Core fulfilled: Explorations: Nature of Science, Technology, and Mathematics.

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