Question: Sample (week) Late Flights Sample (week) Late Flights 1 4 16 2 2 3 17 1 3 11 18 11 4 1 19 2 5
| Sample (week) | Late Flights | Sample (week) | Late Flights |
| 1 | 4 | 16 | 2 |
| 2 | 3 | 17 | 1 |
| 3 | 11 | 18 | 11 |
| 4 | 1 | 19 | 2 |
| 5 | 2 | 20 | 1 |
| 6 | 1 | 21 | 1 |
| 7 | 6 | 22 | 23 |
| 8 | 6 | 23 | 3 |
| 9 | 11 | 24 | 1 |
| 10 | 0 | 25 | 2 |
| 11 | 3 | 26 | 2 |
| 12 | 3 | 27 | 0 |
| 13 | 2 | 28 | 1 |
| 14 | 2 | 29 | 3 |
| 15 | 8 | 30 | 4 |
a) Using a 95% confidence level, plot the overall percentage of late flights ( p ) and the upper and lower control limits on a control chart.
b) Assume that the airline industrys upper and lower control limits for flights that are not on time are .1000 and .0400, respectively. Draw them on your control chart.
c) Plot the percentage of late flights in each sample. Do all samples fall within New England Airs control limits? When one falls out-side the control limits, what should be done?
d) What can Clair Bond report about the quality of service?
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