Perform a hypothesis test for the population proportion
A manufacturer considers his production process to be out of
control when defects exceed 3%. In a random sample of 85 items, the
defect rate is 5.9% but the manager claims that this is only a
sample fluctuation and that production is not really out of
control. At the 0.01 level of significance, do the data provide
sufficient evidence that the percentage of defects exceeds
3%?
Solution :
This hypothesis test is a right tailed test .
The null and alternative hypothesis is
H0 : p = 0.03
Ha : p > 0.03
= 0.059
Test statistic = z
= - P0 / [P0 * (1 - P0 ) / n]
= 0.059 - 0.03/ [(0.03 * 0.97) / 85]
= 1.567
P-value = 0.0585
= 0.01
P-value >
Fail to reject the null hypothesis .
There is not sufficient evidence to suggest that the percentage of defects exceeds 3% .
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