Ten samples of 15 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 Table 1: Table 1. Sample n Number of Defective Items in the Sample 1 15 3 2 15 1 3 15 0 4 15 0 5 15 0 6 15 2 7 15 0 8 15 3 9 15 1 10 15 0 a. Develop a p-chart for 95 percent confidence (1.96 standard deviation). b. Based on the plotted data points, interpret the results.
Ten samples of 15 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 Table 1: Table 1. Sample n Number of Defective Items in the Sample 1 15 3 2 15 1 3 15 0 4 15 0 5 15 0 6 15 2 7 15 0 8 15 3 9 15 1 10 15 0 a. Develop a p-chart for 95 percent confidence (1.96 standard deviation). b. Based on the plotted data points, interpret the results.
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 15 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 Table 1:
Table 1.
| Sample | n | Number of Defective Items in the Sample |
| 1 | 15 | 3 |
| 2 | 15 | 1 |
| 3 | 15 | 0 |
| 4 | 15 | 0 |
| 5 | 15 | 0 |
| 6 | 15 | 2 |
| 7 | 15 | 0 |
| 8 | 15 | 3 |
| 9 | 15 | 1 |
| 10 | 15 | 0 |
a. Develop a p-chart for 95 percent confidence (1.96 standard deviation).
b. Based on the plotted data points, interpret the results.
Transcribed Image Text:Table 1.
Sample
Number of Defective Items in the Sample
1
15
3
2
15
1
15
4
15
5
15
6
15
2
7
15
8
15
3
9
15
1
10
15
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