Question: Example1 Sample 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 # of Defectives

Example1 Sample 1 2 3 4 5 6 7 8 9 10 11 12 13 14

Example1 Sample 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 # of Defectives 4 10 12 3 9 11 10 22 13 10 8 12 9 10 21 10 8 12 10 16 N= 100 The above data have been provided by an inspector of defective monthly billing statements for a company. All numbers come from random samples of 100 bills. 1. Suppose that the management DOES know the defective proportion for an in control process to be p=10%. Construct a 3 sigma QC chart to check whether or not the provided data come from an in- control process. 2. Suppose that the management does NOT know the defective proportion for an in control process. Based on the provided data, estimate this and construct a 3 sigma QC chart that can be used to control the process in the future

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