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 calculated. The results are presented below. Process A 0.002mm Process B Mean 0.0026mm Standard Deviation 0.0001mm 0.00012mm Sample Size 12 14 The researcher is interested in determining whether there is evidence that the two processes yield different average errors. Assume that the population standard deviations are equal. What is the alternate hypothesis?

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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 calculated. The results are presented below.
Process A
0.002mm
Process B
0.0026mm
Mean
Standard Deviation
0.0001mm
0.00012mm
Sample Size
The researcher is interested in determining whether there is evidence that the two processes yield different average errors. Assume that the
12
14
population standard deviations are equal.
What is the alternate hypothesis?
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 calculated. The results are presented below. Process A 0.002mm Process B 0.0026mm Mean Standard Deviation 0.0001mm 0.00012mm Sample Size The researcher is interested in determining whether there is evidence that the two processes yield different average errors. Assume that the 12 14 population standard deviations are equal. What is the alternate hypothesis?
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