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 μ and standard deviation σ. Then

for any value of k.

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