P-chart upper & lower Control limits
The owner of the bike shop is concerned that his customer service is lacking and has decided to apply some statistical process control measures to his order fulfilling process so he contracted with a company specializing in gathering data on customer satisfaction. This organization tracked the number of order entry errors over a period of 25 days and in addition called 17 customers per day to and recorded the number of dissatisfied customer experiences. The table below is a record of the results from which you are to construct a p-Chart and a c-Chart for 95.5% confidence level.
Day | No. Complaints | # surveyed |
| Day | No. Complaints | # surveyed |
1 | 2 | 17 |
| 14 | 11 | 17 |
2 | 4 | 17 |
| 15 | 4 | 17 |
3 | 3 | 17 |
| 16 | 11 | 17 |
4 | 6 | 17 |
| 17 | 6 | 17 |
5 | 11 | 17 |
| 18 | 3 | 17 |
6 | 8 | 17 |
| 19 | 2 | 17 |
7 | 7 | 17 |
| 20 | 2 | 17 |
8 | 4 | 17 |
| 21 | 5 | 17 |
9 | 6 | 17 |
| 22 | 6 | 17 |
10 | 7 | 17 |
| 23 | 5 | 17 |
11 | 11 | 17 |
| 24 | 1 | 17 |
12 | 6 | 17 |
| 25 | 4 | 17 |
13 | 5 | 17 |
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Question 13: What is the p-chart Upper Control Limit for this scenario at the 95.5% level?
Refer to the data in the Question 13. What is the p-chart Lower Control Limit for this scenario at the 95.5% level?
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