Attribute acceptance sampling plans are used when the assessment of the samples is either a binomial judgment of pass/fail or a Poisson count of defects. We will want to generate a figure for the number of items that should be sampled in order to decide if a lot can be considered acceptable or not. The amount of items that need to be inspected will be based on the amount of defects or defective items that we can accept and the amount that we would reject in a lot.

Defective items can be specified as percent, proportion, or defectives per million. Defects can be specified as per unit, per hundred, or per million.

AQL and RQL are used here to define the acceptable quality level and the rejectable quality level. Here, we will use the same AQL, RQL, and lot number as in the Creating an acceptance sampling plan for variable data recipe. This will highlight the difference in the sample sizes between variable and attribute plans.

The response...