I'm given the maximum value of a random variable $X$ (for example $50$) and its mean, $\mathbb E(X)=20$. How do I find the upper bound to $P(X\le -10)$?
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1I think that you need to make the transformation $Y = X + 11$ and work from there. – Ekesh Kumar Nov 14 '18 at 08:37
2 Answers
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Hint:
$50-X$ is a nonnegative random variable since $50$ is an upperbound.
Express your inequality in the form of $Pr(50-X \ge c)$.
Siong Thye Goh
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$P(X \le -10) = P(-X \ge 10) = P(50-X \ge 60)$, now apply Markov on $50-X$. – Siong Thye Goh Nov 14 '18 at 11:24
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I needed to clarify one last thing. P(50-X >= 60) <= 1/3. Is this correct considering the typical formula of Markov inequality P(X >= a)? What I am trying to ask is that if a constant is added or subtracted in an interval such as in the above case, would it affect the final probability. – puffles Nov 15 '18 at 15:26
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1yes, it is correct. if it makes you more comfortable, let $Y=50-X$ and check that $Y$ is nonnegative. If you perform some operations and prove that the two conditions are equivalent, then the probability stays the same. – Siong Thye Goh Nov 15 '18 at 15:29
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helloworld's answer is correct, the mean of the new variable is indeed $30$. – Siong Thye Goh Nov 18 '18 at 04:27
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Define new RV: S = 50 - R
E(S) = 30
P(R<=-10) = P(S>=60)
P(S>=60) = 30/60 = 1/2
You commented: I needed to clarify one last thing. P(50-X >= 60) <= 1/3
It should be 1/2 not 1/3.
helloworld
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