An industrial supplier has shipped a truckload of teflon lubricant cartridges to an aerospace customer. The customer has been assured that the mean weight of these cartridges is in excess of the 12 ounces printed on each cartridge. To check this claim, a sample of n=15 cartridges are randomly selected from the shipment and carefully weighed. Summary statistics for the sample are x?=12.13, and s=.30 ounce. To determine whether the supplier's claim is true, consider the test H0: ?=12 vs Ha: ?>12, where ? is the true mean weight of the cartridges. Find the rejection region for the test using ?=0.01 if the t-test is applied. t > 2.977, where t depends on 14 df z > 2.33 | z | > 2.58 t > 2.624
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We are given a sample of n = 15 cartridges with a sample mean of x̄ = 12.13 ounces and a sample standard deviation of s = 0.30 ounces. Show more…
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Madhur L.
An industrial supplier has shipped a truckload of Teflon lubricant cartridges to an aerospace customer. The customer has been assured that the mean weight of these is "in excess" of the 12 ounces printed on each cartridge. To check this claim, a sample of n = 20 cartridges is randomly selected from the shipment and carefully weighed. Summary statistics for the sample are: Sample mean = 12.11 Sample standard dev = 0.30 ounce To determine whether the supplier's claim is true, consider the test Ho: μ = 12 vs. Ha: μ > 12, where μ is the true mean weight of the cartridges. A) Find the critical value for this test. (No significance level provided in the problem) A. 4.67 B. 1.729 C. -1.64 D. 1.725 E. 0 B) Calculate the p-value for this test. A. 0.05 < P < 0.10 B. 0.0505 C. 0.10 < P < 0.20 D. The correct answer is not among the choices. E. 0.1010
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An industrial supplier has shipped a truckload of teflon lubricant cartridges to an aerospace customer. The customer has been assured that the mean weight of these cartridges is in excess of the 12 ounces printed on each cartridge. To check this claim, a sample of n = 23 cartridges are randomly selected from the shipment and carefully weighed. Summary statistics for the sample are: x̄ = 12.18 ounces, s = .23 ounce. To determine whether the supplier's claim is true, consider the test, H₀: μ = 12 vs. Hₐ: μ > 12,
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