Chebyshev's theorem: If μ and σ are the mean and standard deviation of the random variable X, then for any positive constant k,the probability that X will take on a value within k standard deviations of the mean is at least [1-(1/k²)],that is,
P(|X-μ|<kσ) ≥ 1-1/k², σ≠0.
(i) given the chebyshev...