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A particular manufacturer (the vendee) uses sample data sent by a vendor to investigate whether the mean length of rods produced by the vendor's production process is truly 10 mm or more, as claimed by the vendor and desired by the vendee. The production process has a standard deviation of 0.03 mm, the vendor supplies n=200 items to the vendee, and the vendee uses α = .05 in testing Ho: μ = 10 mm against Ha: <10 mm. If the true mean is really μ=9.9975 mm, what is the chance that they will make a Type Il error? What is the probability that the vendee's test will fail to reject the null hypothesis when in fact µ = 9.9975 mm? (Round to four decimal places as needed.)

A particular manufacturer (the vendee) uses sample data sent by a vendor to investigate whether the mean length of rods produced by the vendor's production process is truly 10 mm or more, as claimed by the vendor and desired by the vendee. The production process has a standard deviation of 0.03 mm, the vendor supplies n=200 items to the vendee, and the vendee uses α = .05 in testing Ho: μ = 10 mm against Ha: <10 mm. If the true mean is really μ=9.9975 mm, what is the chance that they will make a Type Il error? What is the probability that the vendee's test will fail to reject the null hypothesis when in fact µ = 9.9975 mm? (Round to four decimal places as needed.)

Mathematics For Machine Technology
Mathematics For Machine Technology
8th Edition
ISBN:9781337798310
Author:Peterson, John.
Publisher:Peterson, John.
Chapter29: Tolerance, Clearance, And Interference
Section: Chapter Questions
Problem 16A: Spacers are manufactured to the mean dimension and tolerance shown in Figure 29-12. An inspector...
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A particular manufacturer (the vendee) uses sample data sent by a vendor to investigate whether the mean length of rods produced by the vendor's production process is truly 10 mm or more, as claimed by the vendor and desired by the vendee. The production process has a standard deviation of 0.03 mm, the vendor supplies n = 200 items to the vendee, and the vendee uses α = .05 in testing Ho: μ= 10 mm against Ha: μ< 10 mm. If the true mean is really μ = 9.9975 mm, what is the chance that they will make a Type Il error? What is the probability that the vendee's test will fail to reject the null hypothesis when in fact µ = 9.9975 mm? (Round to four decimal places as needed.)
Transcribed Image Text:A particular manufacturer (the vendee) uses sample data sent by a vendor to investigate whether the mean length of rods produced by the vendor's production process is truly 10 mm or more, as claimed by the vendor and desired by the vendee. The production process has a standard deviation of 0.03 mm, the vendor supplies n = 200 items to the vendee, and the vendee uses α = .05 in testing Ho: μ= 10 mm against Ha: μ< 10 mm. If the true mean is really μ = 9.9975 mm, what is the chance that they will make a Type Il error? What is the probability that the vendee's test will fail to reject the null hypothesis when in fact µ = 9.9975 mm? (Round to four decimal places as needed.)
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