Assume that the airline industry's 99% upper and lower control limits for the percentage of flights that
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Question:
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.
B) What can VP Bondi report about the quality of service? Summarize in 4-5 lines
| Number of late flights out of 100 randomly selected flights | ||||||
| Sample (Week) | Late Flights | % Defective, p | CL | UCL | LCL | |
| 1 | 10 | 10% | 11% | 20% | 1% | |
| 2 | 12 | 12% | 11% | 20% | 1% | |
| 3 | 11 | 11% | 11% | 20% | 1% | |
| 4 | 12 | 12% | 11% | 20% | 1% | |
| 5 | 11 | 11% | 11% | 20% | 1% | |
| 6 | 8 | 8% | 11% | 20% | 1% | |
| 7 | 8 | 8% | 11% | 20% | 1% | |
| 8 | 14 | 14% | 11% | 20% | 1% | |
| 9 | 11 | 11% | 11% | 20% | 1% | |
| 10 | 13 | 13% | 11% | 20% | 1% | |
| 11 | 14 | 14% | 11% | 20% | 1% | |
| 12 | 12 | 12% | 11% | 20% | 1% | |
| 13 | 9 | 9% | 11% | 20% | 1% | |
| 14 | 9 | 9% | 11% | 20% | 1% | |
| 15 | 8 | 8% | 11% | 20% | 1% | |
| 16 | 14 | 14% | 11% | 20% | 1% | |
| 17 | 11 | 11% | 11% | 20% | 1% | |
| 18 | 9 | 9% | 11% | 20% | 1% | |
| 19 | 8 | 8% | 11% | 20% | 1% | |
| 20 | 14 | 14% | 11% | 20% | 1% | |
| 21 | 12 | 12% | 11% | 20% | 1% | |
| 22 | 8 | 8% | 11% | 20% | 1% | |
| 23 | 11 | 11% | 11% | 20% | 1% | |
| 24 | 11 | 11% | 11% | 20% | 1% | |
| 25 | 13 | 13% | 11% | 20% | 1% | |
| 26 | 10 | 10% | 11% | 20% | 1% | |
| 27 | 11 | 11% | 11% | 20% | 1% | |
| 28 | 8 | 8% | 11% | 20% | 1% | |
| 29 | 11 | 11% | 11% | 20% | 1% | |
| 30 | 9 | 9% | 11% | 20% | 1% | |
| p-bar | 0.11 | 11% | ||||
| σp | 0.030954 | |||||
| UCL= | 0.20 | 20% | ||||
| LCL= | 0.01 | 1% | ||||
Expert Answer:
a The airline industrys 99 upper and lower control limits for the percentage of flights that are not ... View the full answer
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