I need the answer to A&B for #16

3 ty at sred 5 7 2 TO 3 11 12 5 ata 13 5 2 3 15 5 nd a. Assuming Janice Sanders is willing to use three sigma control limits, construct a p-chart. b. Based on your pchart and the data in the table, what can you conclude about the waiting time of the patients 16. Representatives of the Patriot Insurance Company take medical information over the telephone from prospec tive policy applicants prior to a visit to the applicant's place of residence by a registered nurse who takes vital sign measurements. When the telephone interview has incorrect or incomplete information, the entire process of approving the application is unnecessarily delayed and has the potential of Cansing loss of business. The following data were collected to see how many appli- cations contain errors. Each sample has 200 randomly selected applications Sample Defects Sample Defects 20 16 15 2 18 17 40 3 29 18 35 4 12 19 21 5 14 20 24 9 & & & 21 9 6 11 22 20 7 30 23 17 8 25 130 PART 1 MANAGING PROCESSES Defects Prai Sample Defects 28 Sample 24 25 27 16 25 10 17 10 26 18 11 22 27 12 18 14 13 25 28 19 14 29 16 20 15 20 30 a. What are the upper and lower control limits of a p-chart for the number of defective applications? Use z = 3. b. Is the process in statistical control? ice department of 3 ty at sred 5 7 2 TO 3 11 12 5 ata 13 5 2 3 15 5 nd a. Assuming Janice Sanders is willing to use three sigma control limits, construct a p-chart. b. Based on your pchart and the data in the table, what can you conclude about the waiting time of the patients 16. Representatives of the Patriot Insurance Company take medical information over the telephone from prospec tive policy applicants prior to a visit to the applicant's place of residence by a registered nurse who takes vital sign measurements. When the telephone interview has incorrect or incomplete information, the entire process of approving the application is unnecessarily delayed and has the potential of Cansing loss of business. The following data were collected to see how many appli- cations contain errors. Each sample has 200 randomly selected applications Sample Defects Sample Defects 20 16 15 2 18 17 40 3 29 18 35 4 12 19 21 5 14 20 24 9 & & & 21 9 6 11 22 20 7 30 23 17 8 25 130 PART 1 MANAGING PROCESSES Defects Prai Sample Defects 28 Sample 24 25 27 16 25 10 17 10 26 18 11 22 27 12 18 14 13 25 28 19 14 29 16 20 15 20 30 a. What are the upper and lower control limits of a p-chart for the number of defective applications? Use z = 3. b. Is the process in statistical control? ice department of