1. Data can be found under "p chart" tab in the same Excel file as before (same file, different worksheet). Question 20 to 23 are based on this data. 100 insurance claim forms are inspected daily for 25 working days, and the number of forms with errors is recorded. Construct p- chart and answer questions based on your LCL and UCL.

   What is p8? (non-conformance or defective percentage for the 8th sample)

   Round your answer to the nearest whole number and ignore the percentage sign. For example, if your answer is 0.45 or 45%, fill in 45; if your answer is 0.76 or 76%, fill in 76.

1 points

QUESTION 21

1. What is standard deviation of the mean percentage? (sigma) Round your answer to 2 decimals and ignore the percentage sign. Careful here! Tip: change it to % first, then round to two decimals. For example, if your answer is 0.04511, change it to 4.511%, fill in 4.51. Or, if your answer is 0.00123, change it to 0.123% (they are equal), you should fill in 0.12.

1 points

QUESTION 22

1. What is the UCL for this p chart? Round your answer to two decimals, and ignore the percentage sign. Tip: change it to % first, then round to two decimals. For example, if your answer is 0.04511, change it to 4.511%, fill in 4.51.

1 points

QUESTION 23

1. From your p-chart, how many special cause variations did you identify? Round your answer to the nearest whole number.

1 points

QUESTION 24

1. Data can be found from tab "c chart". Data show the coding errors found from 20 samples. Construct c chart to answer questions. What is c-bar? Round your answer to two decimals.

1 points

QUESTION 25

1. What is UCL of c chart? Round your answer to two decimals.

1 points

QUESTION 26

1. How many special cause variation did you identify?

Obsevations 1 2 3 4 5 6 7 8 9 10 16 13 24 21 12162414 23 15 14 15 21 16 25 12 27 11 23 2419|2110|14212310|17| 10 211629 810273923 24 24 Visit 1 Visit 2 Visit 3 Visit 4 8 P chart Day 1 Number Nonconforming 2 1 2 2 3 4 3 5 0 6 2 7 0 8 2 9 7 10 1 11 3 12 0 13 0 14 2 1 15 16 3 17 4 18 0 19 0 20 1 0 21 22 2 8 23 24 2 25 1 C Chart Sample 1 2 3 4 Number of Errors 7 15 13 8 5 17 6 7 12 28 17 8 20 9 10 14 9 11 16 22 6 12 12 13 14 15 16 17 18 19 24 19 15 13 20 6 Four samples of 10 observations are collected to analyze the performance of a call center performance. The data represents the time spent on each call. For example, in the first sample (visit 1), the first observation is 16 minutes for this call.Based on X-bar chart findings (notice that it is slightly different from last assignment on control charts), you want to further study whether the process conforms to the claim by the call center manager, stating that all calls are completed under 30 minutes (i.e., the specification for this performance is set at, UTL=30, LTL=0). Answer the following questions on process capability index. (Note: here we used table approach (A2, D3, D4 to find control limits) n= k= A2= range D3= D4= Visit 1 Visit 2 Visit 3 Visit 4 Obsevations (unit: minutes) 1 2 3 4 5 6 7 8 9 10 x-bar 16 13 24 21 121624 14 23 15 1415211625122711 23 8 24 1921 10|14|21|23|10|17| 10 21 16 2918 19 27 35 23 24 24 X-bar chart LCL= UCL= x-barbar= R-bar n D4 wN 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Control chart factors A2 D3 1.88 0 1.023 0 0.729 0 0.577 0 0.483 0 0.419 0.076 0.373 0.136 0.337 0.184 0.308 0.223 0.285 0.256 0.266 0.283 0.249 0.307 0.235 0.328 0.223 0.347 0.212 0.363 0.203 0.378 0.194 0.391 0.187 0.404 0.18 0.415 0.173 0.425 0.167 0.435 0.162 0.443 0.157 0.452 0.153 0.459 3.267 2.575 2.282 2.114 2.004 1.924 1.864 1.816 1.777 1.744 1.717 1.693 1.672 1.653 1.637 1.622 1.609 1.596 1.585 1.575 1.565 1.557 1.548 1.541