Eleven samples of 20 parts each were taken from an ongoing process to establish a c-chart for control. The samples and the number of defectives in each are shown Sample Number of defective items in the sample 1 2 2 3 4 3 5 8 6 3 7 8 4 9 10 11 9 36 Develop a c-chart for 3 sigma limits (Z=3) What samples are out of control? (enter the sample numbers separated by commas.for example 1,2,3. If all samples are under control, enter 0)

Practical Management Science
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Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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10
9.
All is in control
11
Transcribed Image Text:Multiple Choice 10 9. All is in control 11
C Chart
Eleven samples of 20 parts each were taken from an ongoing process to establish a c-chart for control. The samples and the number of defectives in each are shown in the following table:
Sample
Number of defective items in the sample
1
2
4
8
3
7
8
4
9
2
10
11
9
36
Develop a c-chart for 3 sigma limits (Z=3)
What samples are out of control? (enter the sample numbers separated by commas.for example 1,2,3. If all samples are under control, enter 0)
FORMULAS
c bar = ( number of defects) / (number of samples)
UCL = c bar + Z [square root(c bar)]
UCL = c bar - Z [square root(c bar) ]
Transcribed Image Text:C Chart Eleven samples of 20 parts each were taken from an ongoing process to establish a c-chart for control. The samples and the number of defectives in each are shown in the following table: Sample Number of defective items in the sample 1 2 4 8 3 7 8 4 9 2 10 11 9 36 Develop a c-chart for 3 sigma limits (Z=3) What samples are out of control? (enter the sample numbers separated by commas.for example 1,2,3. If all samples are under control, enter 0) FORMULAS c bar = ( number of defects) / (number of samples) UCL = c bar + Z [square root(c bar)] UCL = c bar - Z [square root(c bar) ]
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