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    Solving for Inequalities

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    Question: Let X be a random variable with a mean mu and let E[(X-mu)^2k] exist. Show, with d>0, that P(|X-mu| >=d) <=E[(X-mu)^(2k)]/d^(2k). This is essentially Chebyshev's inequality when k=1.

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    https://brainmass.com/statistics/probability-theory/solving-inequalities-42956

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