Chebyshev's inequality, (Exercise 44, Chapter 3), is valid for continuous as well as discrete distributions. It states that for any number k satisfying k ≥ 1, P(|X - μ| ≥ kσ) ≤ 1/k2 (see Exercise 44 in Chapter 3 for an interpretation). Obtain this probability in the case of a normal distribution for k = 1, 2, and 3, and compare to the upper bound.