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After performing a reliability analysis in Minitab (assuming a Weibull distribution), we get the following Survival Plot Survival Plot for ES_1 and ES_2 Weibull 100

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After performing a reliability analysis in Minitab (assuming a Weibull distribution), we get the following Survival Plot Survival Plot for ES_1 and ES_2 Weibull 100 = Varu 151 80 60 Percent 40 20 o 50000 75000 100000 125000 150000 175000 200000 225000 Kms (c) Use the survival plot above to estimate the proportion of exhaust systems 1 that fail before 150,000km (4) Use the survival plot to estimate the proportion of exhaust systems 2 that survive longer than 175.000km (e) Use the survival plot above to estimate the expected mumber of kms that 20% of the exhaust system 2 would fail by (1) Write a general statement about the proportion of warranty claims that the engineer would have to pay out given a 100,000lm warranty. Which exhaust system would pay out less warranties? After performing a reliability analysis in Minitab (assuming a Weibull distribution), we get the following Survival Plot Survival Plot for ES_1 and ES_2 Weibull 100 = Varu 151 80 60 Percent 40 20 o 50000 75000 100000 125000 150000 175000 200000 225000 Kms (c) Use the survival plot above to estimate the proportion of exhaust systems 1 that fail before 150,000km (4) Use the survival plot to estimate the proportion of exhaust systems 2 that survive longer than 175.000km (e) Use the survival plot above to estimate the expected mumber of kms that 20% of the exhaust system 2 would fail by (1) Write a general statement about the proportion of warranty claims that the engineer would have to pay out given a 100,000lm warranty. Which exhaust system would pay out less warranties

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