Acceptance Sampling by Attributes - Compare

User Defined Plans - Sample Size and Acceptance Number

  

You can compare plans by varying the sample size, the accept number, or both together.

Example Output

Compare User Defined Plan(s)

 

 Sample  Acceptance    Percent  Probability  Probability

Size(n)   Number(c)  Defective    Accepting    Rejecting    AOQ      ATI

    150          10          2        1.000        0.000  1.988    155.9

    150          10          5        0.868        0.132  4.313   3435.6

 

    200          10          2        0.997        0.003  1.979    262.8

    200          10          5        0.583        0.417  2.892  10539.9

 

    250          10          2        0.987        0.013  1.955    566.7

    250          10          5        0.291        0.709  1.440  17799.6

 

 

 Sample  Acceptance         At Percent

Size(n)   Number(c)   AOQL   Defective

    150          10  4.355       5.369

    200          10  3.254       4.027

    250          10  2.595       3.222

 

Accept lot if defective items in n sampled ≤ c;  Otherwise reject.

Interpretation

Using your specifications for lot size, AQL, RQL, producer's risk (alpha), and consumer's risk, Minitab determines that an appropriate sampling plan is to inspect 306 bags. You wish to investigate the risks associated with sampling 150, 200, or 250 bags, using the same accept number of 10 at the AQL and RQL levels.