very 12 hours, 90 parts are randomly sampled and the # of defective parts (out of 90) is recorded. Results from 16 samples follow: Sample Defects 1 3 2 11 3 5 4 2 5 8 6 0 7 9 8 7 9 9 10 3 11 6 12 9 13 10 14 4 15 8 16 5 Total # of defects: 99 total # of observations=90*16 = 1440 What is the value of the statistic plotted for sample 2? [go out 4 decimal places] Same parts data. What is the process average (i.e. the midpoint of the control chart)? Same parts data. What is the Upper Control Limit (UCL) for the most appropriate control chart?
very 12 hours, 90 parts are randomly sampled and the # of defective parts (out of 90) is recorded. Results from 16 samples follow: Sample Defects 1 3 2 11 3 5 4 2 5 8 6 0 7 9 8 7 9 9 10 3 11 6 12 9 13 10 14 4 15 8 16 5 Total # of defects: 99 total # of observations=90*16 = 1440 What is the value of the statistic plotted for sample 2? [go out 4 decimal places] Same parts data. What is the process average (i.e. the midpoint of the control chart)? Same parts data. What is the Upper Control Limit (UCL) for the most appropriate control chart?
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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Question
very 12 hours, 90 parts are randomly sampled and the # of defective parts (out of 90) is recorded. Results from 16 samples follow:
| Sample | Defects |
| 1 | 3 |
| 2 | 11 |
| 3 | 5 |
| 4 | 2 |
| 5 | 8 |
| 6 | 0 |
| 7 | 9 |
| 8 | 7 |
| 9 | 9 |
| 10 | 3 |
| 11 | 6 |
| 12 | 9 |
| 13 | 10 |
| 14 | 4 |
| 15 | 8 |
| 16 | 5 |
Total # of defects: 99
total # of observations=90*16 = 1440
What is the value of the statistic plotted for sample 2? [go out 4 decimal places]
Same parts data. What is the process average (i.e. the midpoint of the control chart)?
Same parts data. What is the Upper Control Limit (UCL) for the most appropriate control chart?
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