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Acceptance Sampling for Attributes Print E-mail
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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.

PDF Acceptance Sampling for Attributes - Pdf manual

Example analysis:

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

Acceptance Sampling for Attributes

Protocol Text Output:
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:

Acceptance Sampling for Attributes
LOT REJECTED

Acceptance Sampling for Attributes
LOT Undecided

Acceptance Sampling for Attributes
LOT ACCEPTED
 
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