Chebyshev's inequality states that the probability that $X$ is within $k$ standard deviations of its mean is equal to $1 - 1/k^2$. $P(|X - \mu| < k\sigma) \ge 1 - \frac{1}{k^2}$ Use [[Markov's inequality]] to prove this inequality.