Description

The probability of accepting a production run based on random sampling for defective items can be estimated using a cumulative binomial distribution.


 

Parameters:

(1) percent allowable/expected defects in the run

(2) number of items in a random sampling from the run

(3) total number of rejected items in the random sample before rejecting a run

 

The probability uses a cumulative binomial distribution, since there is a probability of rejecting the run based on 0, 1, 2,....,(total number of rejected items).

 

probability of passing a production run based on the cumulative binomial distribution =

= (CUMULATIVE SUM from 0 to (total number of rejects) for the binomial distribution with N = number of random samples; x = total number of rejected items; p = percent allowable errors; q = 1 - p))

 

In Excel, this would be expressed as:

 

probability of accepting a production run =

= BINOMDIST(total number rejects, number of random samples, percent allowable defects, TRUE)

 

where:

• TRUE indicates cumulative binomial distribution from 0 to total number of rejects. FALSE would be the binomial distribution only at that value).

 


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