Markov’s Inequality in Probability: First Order Estimates

Here we explore Markov’s inequality, one of the most important theoretical results in probability. Markov’s inequality provides a tight bound on the cumulative distribution function in terms of the expected value of a random variable.

This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company

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00:00 Intro
01:32 Example and Intuition
03:53 Proof of Markov’s Inequality
07:22 Outro