Stat > Quality Tools > Acceptance Sampling by Variables > Create/Compare > Graphs
Select the graphs that you want to display for the analysis.
Operating characteristic (OC) curve
The operating characteristic (OC) curve shows the ability of an acceptance sampling plan to distinguish between good and bad quality lots. The OC curve plots the probability of accepting lots that have different incoming quality levels for each sampling plan.
Average outgoing quality (AOQ) curve
The average outgoing quality (AOQ) curve shows the relationship between the quality of the incoming material and the quality of the outgoing material, assuming that rejected lots will be 100% inspected and defective items will be replaced or reworked and inspected again (rectifying inspection).
Average total inspection (ATI) curve
The average total inspection (ATI) curve shows the relationship between the quality of the incoming material and the number of items that need to be inspected, assuming that rejected lots will be 100% inspected and defective items will be replaced or reworked and inspected again (rectifying inspection).
Acceptance region plot
When both specifications are given and the standard deviation is unknown, the acceptance region plot allows you to see the region of sample means and sample standard deviations for which you will accept a lot.
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