1. The problem statement, all variables and given/known data The random variable X has an unknown distribution with μ = 10 and σ^2 = 1.2. use Chebyshev's inequity to solve the following. a) Find an upper bound on the probability that X deviates from its mean by at least 2 b) Find an upper bound on the probability that X deviates from its mean by at least 100. c) Let D be the amount of deviation from the mean on X, and plot the bound values given by Chebyshev's inequity for 0 < D < 1000. Use a log scale on the y-axis. d) What does D have to be to guarantee an upper bound of exactly 10^(-6) with Chebyshev's inequity? 2. Relevant equations 3. The attempt at a solution I missed lecture the day this was presented and the subject is not in the textbook. I have watched several videos on the concept but they do not seem relevant to this question. I have read a few .edu sites on the matter but seem to be more about the k value. So my professor is out of town till and wont be back before this is due. Can someone give me some guidance on this problem?