Chebyshev's Inequality says, for k > 1, that P(|X – H| > ko) < g for anyrandom variable X with mean u and (finite) variance o2. Let X be an arbitraryrandom variable with mean u and finite variance o?. Show thatP(X (μ-V2σ, μ+ V2σ) ) <1|

Answered: Image /qna-images/answer/61b34856-121c-4464-ad8e-30f88e513382.jpg

Answered: P(X ¢ (µ – V20, µ + v20)) < 112

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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