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The sample size (often also random inspection size called) is the number of samples needed for an examination, in order to determine statistic characteristics. Thus biased errors are to be uncovered and occupied statistically.
The sample size is specified frequently by standards, in addition, empirical values are consulted for the definition.
With determined results are computed statistic values. For the formation of an average value a sample size of at least three is necessary. An instrument for the determination of statistic values is for example a rule map (quality rule map). The standard deviation and the are typical values, which are computed with always recurring samples.
In the testing of materials is a sample size of 10 per 1000 produced parts quite usually. It depends among other things on the safety relevance of the construction unit or the material. With the destructive examinations as for example with the traction test is tried to keep as small as possible the inspection expenditure and thus the sample. With the non destructive examination e.g. with image processing systems for the check for completeness frequently a 100%-Kontrolle is accomplished, in order to recognize errors in production as fast as possible.
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