Airlines constantly monitor the "booking curve" for each flight of their network. Simply put, a booking curve is the time-phased trajectory of the bookings. From one day to the next, bookings follow the following simple relationship: Bi+1 (B+1+1)*(1-C) where. B= Total bookings at the end of day i Ii Incremental bookings that come in on day i C Cancellation Rate For a certain flight an airline operates a plane with 200 seats. Currently it has a total of 160 bookings (Bo). It estimates the daily (incremental) bookings to follow a normal distribution with mean = 8 and std deviation = 2. It also estimates its daily cancellation rate to be 4% What will the total bookings be at the end of ten days? The airline has a stated goal of keeping the probability of denied boarding to be no more than 1%. Will this flight satisfy that corporate objective? [Assume there are no transactions (bookings or cancellations) after the end of ten days.] [Run 1000 iterations using @Risk. Save results so that grader can check values from your runs]