MackAir is a rapidly growing airline promising people environmentally sensitive flights.One of MackAir's top competitive priorities is on-time arrivals. Each week for the past 30 weeks, Quality VP Jay Bondi has checked a random sample of 100 flight arrivals for on-time arrival and tracked the number of flights that did not meet MackAir's definition of "on time".This information is given in the tab Late Flights.

a.Calculate the overall percentage of late flights and 99% upper and lower control limits of a p-chart for this situation.

b.Assume that the airline industry's 99% upper and lower control limits for the percentage of flights that are not on time are 10% and 4%, respectively. How do these compare with the MackAir's control limits in (a)?Comment.

c.Plot the percentage of late flights in each sample. Is the process that "produces" delayed flights at MackAir under control?

info needed below:

Number of late flights out of 100 randomly selected flights Sample Late (Week) Flights 1 10 2 12 3 11 A 12 11 8 7 8 8 14 9 11 10 13 11 14 12 12 13 9 14 9 15 8 16 14 17 11 18 9 19 8 20 14 21 12 22 8 23 11 24 11 25 13 26 10 27 11 28 8 29 11 30 9