Consider the dataset refering to screw lengths. (Is it possible to ask a question that has parts a and b to it if not I will ask separately thank you) a) Use a 0.05 significance level to test the claim that the screws have a mean length equal to 3/4 in. (or 0.75 in.), as indicated on the package labels. Do the screw lengths appear to be consistent with the package label? (Assume that the standard deviation of the population is unknown). Find the p-value. b) Use a 0.05 significance level to test the claim that the standard deviation is greater than 0.01. Write down the hypothesis, the sample mean and standard deviation, the test statistic, the critical values, and the conclussion. Dataset: Length of screws 0.757 0.723 0.754 0.737 0.757 0.741 0.722 0.741 0.743 0.742 0.740 0.758 0.724 0.739 0.736 0.735 0.760 0.750 0.759 0.754 0.744 0.758 0.765 0.756 0.738 0.742 0.758 0.757 0.724 0.757 0.744 0.738 0.763 0.756 0.760 0.768 0.761 0.742 0.734 0.754 0.758 0.735 0.740 0.743 0.737 0.737 0.725 0.761 0.758 0.756

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Consider the dataset refering to screw lengths. (Is it possible to ask a question that has parts a and b to it if not I will ask separately thank you)

a) Use a 0.05 significance level to test the claim that the screws have a mean length equal to 3/4 in. (or 0.75 in.), as indicated on the package labels. Do the screw lengths appear to be consistent with the package label? (Assume that the standard deviation of the population is unknown). Find the p-value.

b) Use a 0.05 significance level to test the claim that the standard deviation is greater than 0.01.

Write down the hypothesis, the sample mean and standard deviation, the test statistic, the critical values, and the conclussion.

Dataset:

Length of screws
0.757
0.723
0.754
0.737
0.757
0.741
0.722
0.741
0.743
0.742
0.740
0.758
0.724
0.739
0.736
0.735
0.760
0.750
0.759
0.754
0.744
0.758
0.765
0.756
0.738
0.742
0.758
0.757
0.724
0.757
0.744
0.738
0.763
0.756
0.760
0.768
0.761
0.742
0.734
0.754
0.758
0.735
0.740
0.743
0.737
0.737
0.725
0.761
0.758
0.756
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