The fan blades on commercial jet engines must be replaced when wear on these parts indicates too much variability to pass inspection. If a single fan blade broke during operation, it could severely endanger a flight. A large engine contains thousands of fan blades, and safety regulations require that variability measurements on the populationof all blades not exceed o² = 0.18 mm². An engine inspector took a random sample of 71 fan blades from an engine. She measured each blade and found a sample variance of 0.31 mm². Using a 0.01 level of significance, is the inspector justified in claiming that all the engine fan blades must be replaced?(a) What is the level of significance?State the null and alternate hypotheses.O Ho: o² = 0.18; H₁:0² < 0.180²оно= 0.18; H₁:0² > 0.18O Ho: 0² > 0.18: H₁: ² = 0.18O Ho: o² = 0.18; H₁: 0² +0.18(b) Find the value of the chi-square statistic for the sample. (Round your answer to two decimal places.)What are the degrees of freedom?What assumptions are you making about the original distribution?O We assume a normal population distribution.O We assume a binomial population distribution.uniform population distribution.O We assumeO We assume a exponential population distribution.(c) Find or estimate the P-value of the sample test statistic.OP-value > 0.100O 0.050 < P-value < 0.100O 0.025 < P-value < 0.050O 0.010 < P-value < 0.025O 0.005 < P-value < 0.010O P-value < 0.005(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis?O Since the P-value > a, we fail to reject the null hypothesis.O Since the P-value > a, we reject the null hypothesis.O Since the P-value sa, we reject the null hypothesis.O Since the P-value sa, we fail to reject the null hypothesis.(e) Interpret your conclusion in the context of the application.O At the 1% level of significance, there is insufficient evidence to conclude that the variance of measurements on the fan blades is higher than the specified amount. The inspector is not justified in claiming the blades must be replaced.O At the 1% level of significance, there is sufficient evidence to conclude that the variance of measurements on the fan blades is higher than the specified amount. The inspector is justified in claiming the blades must be replaced.O At the 1% level of significance, there is sufficient evidence to conclude that the variance of measurements on the fan blades is higher than the specified amount. The inspector is not justified in claiming the blades must be replaced.O At the 1% level of significance, there is insufficient evidence to conclude that the variance of measurements on the fan blades is higher than the specified amount. The inspector is justified in claiming the blades must be replaced.

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The fan blades on commercial jet engines must be replaced when wear on these parts indicates too much variability to pass inspection. If a single fan blade broke during operation, it could severely endanger a fight. A large engine contains thousands of fan blades, and safety regulations require that variability measurements on the populatio of all blades not exceed ²-0.18 mm². An engine inspector took a random sample of 71 fan blades from an engine. She measured each blade and found a sample variance of 0.31 mm². Using a 0.01 level of significance, is the inspector justified in claiming that all the engine fan blades must be replaced? (a) What is the level of significance? State the null and alternate hypotheses. ⒸM₂²0.181 ₂:0² < 0.18 ⒸM₂²0.181 ₂ ²0.10 ⒸM²0.10 M₁₂ 0²-0.18 Ho: ²0.18 ₂:²0.10 (b) Find the value of the chi-square statistic for the sample. (Round your answer to two decimal places.) What are the degrees of freedom? What assumptions are you making about the original distribution? O We assume a normal population distribution. O We assume a binomial population distribution. O We assume a uniform population distribution. We assume a exponential population distribution. (c) Find or estimate the P-value of the sample test statistic OP-value> 0.100 O 0.050 < P-value < 0.100 O 0.025 Palue 0.050 O 0.010 P-value < 0.025 O 0.005 P-value < 0.010 OP-value < 0.005

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.5: Comparing Sets Of Data

Problem 13PPS