This module is designed to help with the decision whether to accept or reject a lot consisting of individual items, which can be classified as good or faulty (conforming or nonconforming). The decision is based on sequential random sampling. Each item drawn is inspected and information about its status is inputted into the program. After sufficient amount of information has been collected, the program suggests whether the lot should be accepted or rejected. The procedure is called Sequential acceptance sampling and usually requires to test only a relatively small number of items before a decision is made. Apart from appropriate parameter choice, the randomness of the sampling is the crucial part of the procedure. When numbers can assigned to items (e.g. order within the lot), tables of random numbers can be used. Alternatively, the random number generator from the Simulation module can be used instead.

Acceptance Sampling for Attributes - Pdf manual

Items tested	Bads
1	0
5	0
6	0
8	0
9	1
10	1
11	1
12	1
...	...

Acceptance sampling by attributes
Task name :	Attribute Sampling
P1 :	0.1
P2 :	0.16
Alpha :	0.1
Beta :	0.05
No of tests	No of non-conforming	Conclusion
1	0	Not decided
5	0	Not decided
6	0	Not decided
14	3	Not decided
16	3	Not decided
17	4	Not decided
25	5	Not decided
27	5	Not decided
47	8	Not decided
48	9	Not decided
50	9	Not decided
51	10	Not decided
53	10	Not decided
54	11	Not decided
56	11	Not decided
57	12	Rejected
59	12	Rejected
60	13	Rejected

Graphical Output:

LOT REJECTED

LOT Undecided

LOT ACCEPTED