Question: What does this mean for k = 2? How much of the probability must lie within two standard deviations of the mean? There is a

What does this mean for k = 2? How much of the probability must lie within two standard deviations of the mean?
There is a general inequality about any random variable X, called Chebyshev's inequality. Suppose X has mean Î¼ and standard deviation Ïƒ. Then

for any value of k.

- ul2 ko)s; P Pr(1X k2

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