Question: Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 table [ [ 1 0 . 2 , 1 0 . 3 , 9

Sample1 Sample2 Sample 3 Sample4 Sample5
\table[[10.2,10.3,9.7,9.9,9.8],[9.9,9.8,9.9,10.3,10.2],[9.8,9.9,9.9,10.1,10.3],[10.1,10.4,10.1,10.5,9.7]]
TABLE-I
\table[[n,A 2,D 3,D 4],[2,1.88,0,3.27],[3,1.02,0,2.57],[4,0.73,0,2.28],[5,0.58,0,2.11],[6,0.48,0,2.00],[7,0.42,0.08,1.92],[8,0.37,0.14,1.86],[9,0.34,0.18,1.82],[10,0.31,0.22,1.78],[11,0.29,0.26,1.74]]
Question 5(4 points):
Problem: Using four samples of 200 credit card statements each, an auditor found the following number of erroneous statements in each sample:
Sample
1234
Number of errors 4259
a. Determine the proportion of defectives in each sample.
Sample Number of errors Proportion defective
\table[[1,4],[2,2],[3,5],[4,9]]
b. Estimate the proportion of defectives (mean defectives) and standard deviation of the sampling distribution () for this process?
c. Construct a p-control chart for the process considering the information in part c and three Sigma control limits. Is the process in control?
 Sample1 Sample2 Sample 3 Sample4 Sample5 \table[[10.2,10.3,9.7,9.9,9.8],[9.9,9.8,9.9,10.3,10.2],[9.8,9.9,9.9,10.1,10.3],[10.1,10.4,10.1,10.5,9.7]] TABLE-I \table[[n,A 2,D 3,D

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