The Markov Inequality Let g(Y ) be a function of the continuous random variable Y , with
Chapter 4, Problem 4.198(choose chapter or problem)
The Markov Inequality Let g(Y ) be a function of the continuous random variable Y , with E(|g(Y )|) < . Show that, for every positive constant k, P(|g(Y )| k) 1 E(|g(Y )|) k . [Note: This inequality also holds for discrete random variables, with an obvious adaptation in the proof.]
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