## Math 131A. Lecture 09. Introduction to Probability and Statistics: Conditional Probability (English)

**Recorded: **July 12, 2013

**Terms of Use: **http://open.uci.edu/info

**Lecture 9: Conditional Probability**

**Course Description: **Introductory course covering basic principles of probability and statistical inference. Topics covered in this course: Axiomatic definition of probability, random variables, probability distributions, expectation.

**Required attribution:** Cranston, Michael C. Math 131A (UCI Open: University of California, Irvine), http://open.uci.edu/courses/math_131a_introduction_to_probability_and_statistics.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License.

- Author:
- Michael C. Cranston Ph.D.
- Title:
- Professor
- Department:
- Mathematics

Introduction to Probability and Statistics 131A. Lecture 9. Conditional Probability by Michael Cranston is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.