A bottle maker calculates that 26% 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 499 bottles would differ from the population proportion by less than 4%? Round your answer to four decimal places.
P(Differs from population proportion by less than 4%)
= P(-2.04 < z < 2.04)
= 0.9584
A bottle maker calculates that 26% of his bottles are defective. If the bottle maker is...
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.
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