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Question The table below shows the selected values of the OC 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, a = 0.05; LTPD = 0.05, B = 0.10 (how well does this plan satisfy targeted a and B) Probability of acceptance Proportion defective (P.) 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