MATH 323 - Probability. |

Sample space, events, conditional probability, independence of events, Bayes' Theorem. Basic combinatorial probability, random variables, discrete and continuous univariate and multivariate distributions. Independence of random variables. Inequalities, weak law of large numbers, central limit theorem.
Prerequisites: MATH 141 or equivalent. Restriction: Intended for students in Science, Engineering and related disciplines, who have had differential and integral calculus Restriction: Not open to students who have taken or are taking MATH 356 3.000 Credit hours Schedule Types: Lecture, Final Exam, Midterm Exam, Optional Tutorial, Tutorial All Sections for this Course 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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