MATH 323

3 credits

Probability

Mathematics & Statistics (Sci): 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.

Offered by: Mathematics and Statistics

- 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

- Terms
- Fall 2013
- Winter 2014

- Instructors
- There are no professors associated with this course for the 2013-2014 academic year.