Ten samples of 10 parts each were taken from an ongoing process to establish a p-chart for control. The samples and the number of defectives in each are shown in the following table: Sample n Number of Defective Items in The Sample p 1 5 1 0.20 2 5 1 0.20 3 5 1 0.20 4 5 0 0.00 5 5 2 0.40 6 5 3 0.60 7 5 1 0.20 8 5 0 0.00 9 5 2 0.40 10 5 1 0.20 Totals 50 12 Calculate the upper and lower control limits for a p-chart. Assume z=2 LCL= 0, UCL= 0.622 LCL = 0, UCL = 0.351 LCL = 0, UCL=0.431 LCL= -0.14, UCL= 0.622 LCL=-0.14, UCL= 0.431
Ten samples of 10 parts each were taken from an ongoing process to establish a p-chart for control. The samples and the number of defectives in each are shown in the following table: Sample n Number of Defective Items in The Sample p 1 5 1 0.20 2 5 1 0.20 3 5 1 0.20 4 5 0 0.00 5 5 2 0.40 6 5 3 0.60 7 5 1 0.20 8 5 0 0.00 9 5 2 0.40 10 5 1 0.20 Totals 50 12 Calculate the upper and lower control limits for a p-chart. Assume z=2 LCL= 0, UCL= 0.622 LCL = 0, UCL = 0.351 LCL = 0, UCL=0.431 LCL= -0.14, UCL= 0.622 LCL=-0.14, UCL= 0.431
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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Ten samples of 10 parts each were taken from an ongoing process to establish a p-chart for control. The samples and the number of defectives in each are shown in the following table:
Sample | n | Number of Defective Items in The Sample | p | |
1 | 5 | 1 | 0.20 | |
2 | 5 | 1 | 0.20 | |
3 | 5 | 1 | 0.20 | |
4 | 5 | 0 | 0.00 | |
5 | 5 | 2 | 0.40 | |
6 | 5 | 3 | 0.60 | |
7 | 5 | 1 | 0.20 | |
8 | 5 | 0 | 0.00 | |
9 | 5 | 2 | 0.40 | |
10 | 5 | 1 | 0.20 | |
Totals | 50 | 12 |
|
Calculate the upper and lower control limits for a p-chart. Assume z=2
LCL= 0, UCL= 0.622
LCL = 0, UCL = 0.351
LCL = 0, UCL=0.431
LCL= -0.14, UCL= 0.622
LCL=-0.14, UCL= 0.431
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