Consider the random variables X and Y defined in Example 25.5, i.e., X is Maxine's waiting time, and Y is Daniella's waiting time. Let W = max(X, Y), i.e., W is either Maxine's or Daniella's waiting time, whichever is larger! Find FW(w) = P(W ≤ w), the cumulative distribution function of W. This is equal to P(max(X, Y) ≤ w), i.e., the probability that Maxine waits less than w minutes and Daniella waits less than w minutes.