Basic Inequality, Markov's Inequality & Chebyshov's Inequality 
Basic Inequality, Markov's Inequality & Chebyshov's Inequality by Harvard / Paul Bamberg
Video Lecture 14 of 15
Copyright Information: All rights reserved to Prof. Paul Bamberg and Harvard University. If you enjoyed this free class, the Harvard Extension School offers a wide variety of courses in numerous fields. Check out http://www.extension.harvard.edu/
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Date Added: January 17, 2015

Lecture Description

Topics: Basic Inequality; Markov's Inequality; Chebyshov's Inequality; Weak Law of Large Numbers; Weak Law, continued; Strong Law of Large Numbers

Course Index

Course Description

This online math course develops the mathematics needed to formulate and analyze probability models for idealized situations drawn from everyday life. Topics include elementary set theory, techniques for systematic counting, axioms for probability, conditional probability, discrete random variables, infinite geometric series, and random walks. Applications to card games like bridge and poker, to gambling, to sports, to election results, and to inference in fields like history and genealogy, national security, and theology. The emphasis is on careful application of basic principles rather than on memorizing and using formulas.

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