A national manufacturer of ball bearings is experimenting with two different processes for producing precision ball bearings. It is important that the diameters be as close as possible to an industry standard. The output from each process is sampled and the average error from the industry standard is measured in millimeters. The results are presented here. Process A Process B Sample mean 2.0 3.0 Sample Standard deviation 1.0 0.5 Sample size 12 14 The researcher is interested in determining whether there is a difference in the variances of the two processes. What is the p - value for this hypothesis test? Select one: a. 2.05% b. 0.05% c. 2.5% d. 5.0%

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A national manufacturer of ball bearings is experimenting with two different
processes for producing precision ball bearings. It is important that the
diameters be as close as possible to an industry standard. The output from
each process is sampled and the average error from the industry standard is
measured in millimeters. The results are presented here. Process A Process
B Sample mean 2.0 3.0 Sample Standard deviation 1.0 0.5 Sample size 12 14
The researcher is interested in determining whether there is a difference in
the variances of the two processes. What is the p - value for this hypothesis
test? Select one: a. 2.05% b. 0.05% c. 2.5% d. 5.0%
Transcribed Image Text:A national manufacturer of ball bearings is experimenting with two different processes for producing precision ball bearings. It is important that the diameters be as close as possible to an industry standard. The output from each process is sampled and the average error from the industry standard is measured in millimeters. The results are presented here. Process A Process B Sample mean 2.0 3.0 Sample Standard deviation 1.0 0.5 Sample size 12 14 The researcher is interested in determining whether there is a difference in the variances of the two processes. What is the p - value for this hypothesis test? Select one: a. 2.05% b. 0.05% c. 2.5% d. 5.0%
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