From past experience, a professor knows that the test score of a student taking her final examination is a random variable with mean 70 and variance 8. What is the upper bound of the probability that a student will score between 65 and 75
Chebyshev’s inequality states that for any probability distribution of an rv "X" and any number "k" that is at least "1,P(|X-\\mu|\\geq k\\sigma)\\leq 1\/k^2."
"P(65\\leq X\\leq75)=P(|X-70|\\leq 5)""=1-P(|X-70|>5)\\geq 1-\\dfrac{\\sigma^2}{5}"
"=1-\\dfrac{8}{5^2}=0.68"
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