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 following table:

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**Problem 10-23**

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 following table:

| SAMPLE | \( n \) | NUMBER OF DEFECTIVE ITEMS IN THE SAMPLE |
|--------|---------|----------------------------------------|
| 1      | 15      | 2                                      |
| 2      | 15      | 1                                      |
| 3      | 15      | 1                                      |
| 4      | 15      | 1                                      |
| 5      | 15      | 1                                      |
| 6      | 15      | 0                                      |
| 7      | 15      | 2                                      |
| 8      | 15      | 1                                      |
| 9      | 15      | 3                                      |
| 10     | 15      | 0                                      |

**a.** Determine the \(\bar{p}\), \( S_p \), UCL, and LCL for a \( p \)-chart of 95 percent confidence (1.96 standard deviations). **(Leave no cells blank - be certain to enter "0" wherever required. Round your answers to 3 decimal places.)**

| \(\bar{p}\) |       |
|-------------|-------|
| \( S_p \)   |       |
| UCL         |       |
| LCL         | 0     |

**Explanation of Items:**

- **\(\bar{p}\):** This is the average proportion of defective items across all samples.
- **\( S_p \):** This represents the standard deviation of the proportions.
- **UCL (Upper Control Limit):** The upper boundary in the control process.
- **LCL (Lower Control Limit):** The lower boundary in the control process; set to "0" when the calculated value is negative or zero.
Transcribed Image Text:**Problem 10-23** 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 following table: | SAMPLE | \( n \) | NUMBER OF DEFECTIVE ITEMS IN THE SAMPLE | |--------|---------|----------------------------------------| | 1 | 15 | 2 | | 2 | 15 | 1 | | 3 | 15 | 1 | | 4 | 15 | 1 | | 5 | 15 | 1 | | 6 | 15 | 0 | | 7 | 15 | 2 | | 8 | 15 | 1 | | 9 | 15 | 3 | | 10 | 15 | 0 | **a.** Determine the \(\bar{p}\), \( S_p \), UCL, and LCL for a \( p \)-chart of 95 percent confidence (1.96 standard deviations). **(Leave no cells blank - be certain to enter "0" wherever required. Round your answers to 3 decimal places.)** | \(\bar{p}\) | | |-------------|-------| | \( S_p \) | | | UCL | | | LCL | 0 | **Explanation of Items:** - **\(\bar{p}\):** This is the average proportion of defective items across all samples. - **\( S_p \):** This represents the standard deviation of the proportions. - **UCL (Upper Control Limit):** The upper boundary in the control process. - **LCL (Lower Control Limit):** The lower boundary in the control process; set to "0" when the calculated value is negative or zero.
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