|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.
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
May not be enrolled in one of the following Levels:
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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