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Fall 2017
Sep 23, 2017
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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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