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