A bottle maker assumes that 18% of his bottles are defective. If the bottle maker is accurate, what is the probability that the proportion of defective bottles in a sample of 626 bottles would differ from the population proportion by more than 4%? Round your answer to four decimal places.
Using normal approximation,
P( < p) = P( Z < - p / sqrt( p( 1 - p) / n) )
So,
We have to calculate P( > p+0.04) = ?
= P( > 0.18 + 0.04) = ?
P( > 0.22) = P( Z > 0.22 - 0.18 / sqrt( 0.18 * 0.82 / 626) )
= P( Z > 2.6050)
= 0.0046
A bottle maker assumes that 18% of his bottles are defective. If the bottle maker is...
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