Probability

Undergraduate

Probability, events, algebra of sets, independence, conditional probability, Bayes’ theorem; random variables and their univariate, multivariate, marginal and conditional distributions. Expected value of a random variable, the mean, variance and higher moments, moment generating function, Chebyshev’s theorem. Common discrete and continuous distributions: Binomial, Poisson, hypergeometric, normal, uniform and exponential. Use of SAS, Maple or other statistical packages. Course Format: Lectures, 3 hours per week; lab/tutorial, 1 hour per week. Prerequisite(s): STAT (MATH) 1P02 or 1P06 or permission of the instructor Course Notes: May be taken concurrently with MATH 2P03. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Exclusions: Completion of this course will replace previously assigned grade and credit obtained in MATH 2P81.