Acceptance sampling is an important quality control technique, where a batch of data is tested to determine if the proportion of units having a particular attribute exceeds a given percentage. Suppose that 12% of produced items are known to be nonconforming. Every week a batch of items is evaluated and the production machines are adjusted if the proportion of nonconforming items exceeds 16%. [You may find it useful to reference the z table.]
a. What is the probability that the production machines will be adjusted if the batch consists of 56 items? (Round “z” value to 2 decimal places, and final answer to 4 decimal places.)
b. What is the probability that the production machines will be adjusted if the batch consists of 112 items? (Round “z” value to 2 decimal places, and final answer to 4 decimal places.)
Solution
Given that,
p = 0.12
1 - p = 1 - 0.12 = 0.88
a) n = 56
= p = 0.12
= [p( 1 - p ) / n] = [(0.12 * 0.88) / 56 ] = 0.0434
P( > 0.16 ) = 1 - P( < 0.16 )
= 1 - P(( - ) / < (0.16 - 0.12) / 0.0434)
= 1 - P(z < 0.92)
Using z table
= 1 - 0.8212
= 0.1788
b) n = 112
= p = 0.12
= [p( 1 - p ) / n] = [(0.12 * 0.88) / 112 ] = 0.0307
P( > 0.16 ) = 1 - P( < 0.16 )
= 1 - P(( - ) / < (0.16 - 0.12) / 0.0307)
= 1 - P(z < 1.30)
Using z table
= 1 - 0.9032
= 0.0968
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