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Fall 2017
Sep 24, 2017
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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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