1.10.5. Let X be a random variable with mgf M(t), −h< t

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Please prove from Markov/Chebyshevs inequality from scratch. Also please write out steps and explainations. Thanks!

1.10.5. Let X be a random variable with mgf M(t), −h < t <h. Prove that
P(X ≥ a) ≤e-at M(t), 0<t<h,
and that
P(X ≤ a) ≤ e¯at M(t), -h<t<0.
Transcribed Image Text:1.10.5. Let X be a random variable with mgf M(t), −h < t <h. Prove that P(X ≥ a) ≤e-at M(t), 0<t<h, and that P(X ≤ a) ≤ e¯at M(t), -h<t<0.
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