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


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UCI Math 131A: Introduction to Probability and Statistics (Summer 2013)
Lec 09. Introduction to Probability and Statistics: Conditional Probability
View the complete course: http://ocw.uci.edu/courses/math_131a_introduction_to_probability_and_statistics.html
Instructor: Michael C. Cranston, Ph.D.

License: Creative Commons CC-BY-SA
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Description: UCI Math 131A is an introductory course covering basic principles of probability and statistical inference. Axiomatic definition of probability, random variables, probability distributions, expectation.

Recorded on July 12, 2013

Required attribution: Cranston, Michael C. Math 131A (UCI OpenCourseWare: University of California, Irvine), http://ocw.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
Creative Commons License
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.
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