Fly Can is a domestic airline, operated within the country. One of Fly Can's competitive priorities...
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Fly Can is a domestic airline, operated within the country. One of Fly Can's competitive priorities is on-time arrivals. The Quality VP decided to personally monitor Fly Can's performance. Each week for the past 30 weeks, Quality VP checked a random sample of 275 flight arrivals for on-time performance. The table below contains the number of late flights that did not meet Fly Can's definition of "on time" arrivals. The results of the 30 samples are shown in the table. Sample Number of Late flights 6 1 2 3 4 5 6 7 8 9 10 8 5 4 9 12 10 6 10 9 Sample 11 12 13 14 15 16 17 18 19 20 Hints: Total number of Late flights is 231. No chart drawing required for this problem. Number of Late flights 7 9 10 6 9 12 6 8 9 7 Sample 21 22 23 24 25 26 27 28 29 30 Number of Late flights 8 11 5 9 8 6 8 3 5 6 (a) With this kind of data, which type of process control chart is the most appropriate? Based on the above information, for 90% confidence level. Calculate the relevant center line(s) and upper and lower control limits. (b) Samples for the next five weeks are reported in the table below. On base of limits calculated in part (a), is the process in control or not, justify? Sample 31 32 33 34 35 Number of Late flights 11 8 9 13 10 (c) This is independent of parts (a), and (b). In an effort to statistically control the flight system, eleven flights randomly picked from the Paragon airport every hour. The data showing how many minutes late from their scheduled time are recorded sequentially for the samples over the 14 hours of operation. The overall average of the 14 sample means is 12.8639 minutes. The overall average of the 14 sample ranges is 17.9358 minutes. Considering that three sigma control limits are applied in the statistical process control of this study, determine the upper and lower control limits of the X-bar chart and R-chart. Fly Can is a domestic airline, operated within the country. One of Fly Can's competitive priorities is on-time arrivals. The Quality VP decided to personally monitor Fly Can's performance. Each week for the past 30 weeks, Quality VP checked a random sample of 275 flight arrivals for on-time performance. The table below contains the number of late flights that did not meet Fly Can's definition of "on time" arrivals. The results of the 30 samples are shown in the table. Sample Number of Late flights 6 1 2 3 4 5 6 7 8 9 10 8 5 4 9 12 10 6 10 9 Sample 11 12 13 14 15 16 17 18 19 20 Hints: Total number of Late flights is 231. No chart drawing required for this problem. Number of Late flights 7 9 10 6 9 12 6 8 9 7 Sample 21 22 23 24 25 26 27 28 29 30 Number of Late flights 8 11 5 9 8 6 8 3 5 6 (a) With this kind of data, which type of process control chart is the most appropriate? Based on the above information, for 90% confidence level. Calculate the relevant center line(s) and upper and lower control limits. (b) Samples for the next five weeks are reported in the table below. On base of limits calculated in part (a), is the process in control or not, justify? Sample 31 32 33 34 35 Number of Late flights 11 8 9 13 10 (c) This is independent of parts (a), and (b). In an effort to statistically control the flight system, eleven flights randomly picked from the Paragon airport every hour. The data showing how many minutes late from their scheduled time are recorded sequentially for the samples over the 14 hours of operation. The overall average of the 14 sample means is 12.8639 minutes. The overall average of the 14 sample ranges is 17.9358 minutes. Considering that three sigma control limits are applied in the statistical process control of this study, determine the upper and lower control limits of the X-bar chart and R-chart. Fly Can is a domestic airline, operated within the country. One of Fly Can's competitive priorities is on-time arrivals. The Quality VP decided to personally monitor Fly Can's performance. Each week for the past 30 weeks, Quality VP checked a random sample of 275 flight arrivals for on-time performance. The table below contains the number of late flights that did not meet Fly Can's definition of "on time" arrivals. The results of the 30 samples are shown in the table. Sample Number of Late flights 6 1 2 3 4 5 6 7 8 9 10 8 5 4 9 12 10 6 10 9 Sample 11 12 13 14 15 16 17 18 19 20 Hints: Total number of Late flights is 231. No chart drawing required for this problem. Number of Late flights 7 9 10 6 9 12 6 8 9 7 Sample 21 22 23 24 25 26 27 28 29 30 Number of Late flights 8 11 5 9 8 6 8 3 5 6 (a) With this kind of data, which type of process control chart is the most appropriate? Based on the above information, for 90% confidence level. Calculate the relevant center line(s) and upper and lower control limits. (b) Samples for the next five weeks are reported in the table below. On base of limits calculated in part (a), is the process in control or not, justify? Sample 31 32 33 34 35 Number of Late flights 11 8 9 13 10 (c) This is independent of parts (a), and (b). In an effort to statistically control the flight system, eleven flights randomly picked from the Paragon airport every hour. The data showing how many minutes late from their scheduled time are recorded sequentially for the samples over the 14 hours of operation. The overall average of the 14 sample means is 12.8639 minutes. The overall average of the 14 sample ranges is 17.9358 minutes. Considering that three sigma control limits are applied in the statistical process control of this study, determine the upper and lower control limits of the X-bar chart and R-chart. Fly Can is a domestic airline, operated within the country. One of Fly Can's competitive priorities is on-time arrivals. The Quality VP decided to personally monitor Fly Can's performance. Each week for the past 30 weeks, Quality VP checked a random sample of 275 flight arrivals for on-time performance. The table below contains the number of late flights that did not meet Fly Can's definition of "on time" arrivals. The results of the 30 samples are shown in the table. Sample Number of Late flights 6 1 2 3 4 5 6 7 8 9 10 8 5 4 9 12 10 6 10 9 Sample 11 12 13 14 15 16 17 18 19 20 Hints: Total number of Late flights is 231. No chart drawing required for this problem. Number of Late flights 7 9 10 6 9 12 6 8 9 7 Sample 21 22 23 24 25 26 27 28 29 30 Number of Late flights 8 11 5 9 8 6 8 3 5 6 (a) With this kind of data, which type of process control chart is the most appropriate? Based on the above information, for 90% confidence level. Calculate the relevant center line(s) and upper and lower control limits. (b) Samples for the next five weeks are reported in the table below. On base of limits calculated in part (a), is the process in control or not, justify? Sample 31 32 33 34 35 Number of Late flights 11 8 9 13 10 (c) This is independent of parts (a), and (b). In an effort to statistically control the flight system, eleven flights randomly picked from the Paragon airport every hour. The data showing how many minutes late from their scheduled time are recorded sequentially for the samples over the 14 hours of operation. The overall average of the 14 sample means is 12.8639 minutes. The overall average of the 14 sample ranges is 17.9358 minutes. Considering that three sigma control limits are applied in the statistical process control of this study, determine the upper and lower control limits of the X-bar chart and R-chart.
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