MATH 356 - Honours Probability. |

Sample space, probability axioms, combinatorial probability. Conditional probability, Bayes' Theorem. Distribution theory with special reference to the Binomial, Poisson, and Normal distributions. Expectations, moments, moment generating functions, uni-variate transformations. Random vectors, independence, correlation, multivariate transformations. Conditional distributions, conditional expectation.Modes of stochastic convergence, laws of large numbers, Central Limit Theorem.
Fall Prerequisite(s): MATH 133 or MATH 134, and MATH 222 or permisson of the Department. Corequisite(s): MATH 242 or MATH 254 3.000 Credit hours Schedule Types: Lecture, Final Exam, Midterm Exam Faculty of Science Mathematics and Statistics Department Restrictions: May not be enrolled in one of the following Levels: Doctorate Masters & Grad Dips & Certs May not be enrolled in one of the following Faculties: Faculty of Dentistry Faculty of Medicine School of Continuing Studies |

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