Chebyshev’s Theorem requires you to know the mean and standard deviation of the variable if you are seeking the lower bound. On the other hand, you can "go backward" and find the mean and standard deviation for a given interval if you presume that the unknown mean is actually the midpoint of the interval and that \(a\) is the (equal) distance from that midpoint to either endpoint. Use this when working the exercise below.