Question
A glass manufacturer produces hand mirrors. Each mirror is supposed to meet company standards for such things as glass, color of handle, and so on. To control for these features, the company quality people randomly sample 40 mirrors in every shift and determine how many of the mirrors are out of compliance on at least one feature. Shown here are the data for 15 such samples.
| Sample | Number out of Compliance | Sample | Number out of Compliance |
| 1 2 3 4 5 | 2 0 6 3 1 | 6 7 8 9 10 | 0 4 3 2 2 |
Use the data to construct a suitable chart. Observe the results and comment on the control of the process as indicated by the chart.
Answer :
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Skip in 10
To analyze this data, we will construct a p-chart (proportion control chart), which is used to monitor the proportion of defective items in a process. ### Steps to Construct a p-Chart: 1. Calculate the proportion of non-compliant mirrors for each sample: \[ p_i = \frac{\text{Number out of compliance}}{\text{Sample size (40)}} \] 2. Calculate the overall average proportion of defective items: \[ \bar{p} = \frac{\sum
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