A pipes manufacturer makes pipes with a length that is supposed to be 18 inches. A quality control technician sampled 40 pipes and found that the sample mean length was 18.09 inches and the sample standard deviation was 0.21 inches. The technician claims that the mean pipe length is not 18 inches. What type of hypothesis test should be performed? What is the test statistic? What is the number of degrees of freedom? Does sufficient evidence exist at the a = 0.05 significance level to support the technician's claim?

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Author:Amos Gilat
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A pipes manufacturer makes pipes with a length that is supposed to be 18
inches. A quality control technician sampled 40 pipes and found that the
sample mean length was 18.09 inches and the sample standard deviation was
0.21 inches. The technician claims that the mean pipe length is not 18 inches.
What type of hypothesis test should be performed?
What is the test statistic?
What is the number of degrees of freedom?
Does sufficient evidence exist at the a =
0.05 significance level to support the
technician's claim?
Transcribed Image Text:A pipes manufacturer makes pipes with a length that is supposed to be 18 inches. A quality control technician sampled 40 pipes and found that the sample mean length was 18.09 inches and the sample standard deviation was 0.21 inches. The technician claims that the mean pipe length is not 18 inches. What type of hypothesis test should be performed? What is the test statistic? What is the number of degrees of freedom? Does sufficient evidence exist at the a = 0.05 significance level to support the technician's claim?
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