Lets denote p = percentage of faulty items produced and n = 200.
Because of the manufacturer claim:
Significance level
A Poisson distribution with provides an approximation to a binomial distribution when and
Thus X denotes the number of faulted items in the sample, then
Using tables of the Cumulative Poisson Distribution Functions
Since the test is two-tailed this probability is compared with because a small number of faulted items could also lead to the rejection of the null hypothesis.
Here, so is rejected.
There is evidence with a 1% level of significance, that the manufacturer's claim is not valid.
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