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The table below shows theselected values of theOC curve for the acceptance sampling plan n = 210, c = 6. Upon failed inspection, defective items

  1. The table below shows theselected values of theOC curve for the acceptance sampling plan n = 210, c = 6. Upon failed inspection, defective items are replaced. Calculate the AOQ for each data point assuming the batch size (N) is much larger than the sample size (n) (that is (N-n)N and therefore AOQ=Pd * Pa). Plot the AOQ curve. At approximately what defective rate (Pd) is the AOQ at its worst (highest)? Is this a good plan if the desired specifications are AQL = 0.015, = 0.05; LTPD = 0.05, = 0.10 (how well does this plan satisfy targeted and )

Population percent defective (Pd) Probability of acceptance (Pa)
0.00 1.00000
0.01 0.99408
0.02 0.86650
0.03 0.55623
0.04 0.26516
0.05 0.10056
0.06 0.03217
0.07 0.00905
0.08 0.00231
0.09 0.00054
0.10 0.00012

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