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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
- 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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