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Janice Sanders, CEO of Pine Crest Medical Clinic, is concerned over the number of times patients must wait more than 30 minutes beyond their scheduled appointments. She asked her assistant to take random samples of 60 patients to see how many in each sample had to wait more than 30 minutes. Each instance is considered a defect in the clinic process. The table below contains the data for 15 samples. Sample 1 2 3 4 5 Number of Defects 2 8 2 9 5 Sample 6 7 8 9 10 Number of Defects O A. The p-chart shows a significant change in the wait times, so the process is not in control. OB. At least one of the sample proportions is above the upper control limit, so the process is not in control. O C. All of the sample proportions are within the control limits and there are no unusual patterns, so the process is in control. The p-chart shows a significant upward trend, so the process is not in control. O D. O E. At least one of the sample proportions is below the lower control limit, so the process is not in control. 4 8 5 11 9 Sample 11 12 13 14 15 a. Assuming Janice Sanders is willing to use three-sigma control limits, construct the upper and lower control limits. The UCL, equals and the LCLp equals. (Enter your responses rounded to four decimal places. If your answer for LCLp is negative, enter this value as 0.) b. Based on your control limits and the data in the table, what can you conclude about the waiting time of the patients? Number of Defects 2 9 4 11 7