Question 2 In a test measuring the life span of a certain brand of tire, 100 tires are tested. The results showed an average lifetime of 50,000 miles, with a standard deviation of 5,000 miles. One hundred thousand of these tires have been sold and are on the road. (a) After what mileage would you expect 10% of the tires to have worn out? (b) How many tires are expected to wear out between 60,000 and 70,000 miles? (c) How many tires are expected to have a life of less than 20,000 miles? (d) What are your major assumptions in the calculations for (a), (b) and (c)? (e) Estimate the 95% confidence interval on the population mean.
Question 2 In a test measuring the life span of a certain brand of tire, 100 tires are tested. The results showed an average lifetime of 50,000 miles, with a standard deviation of 5,000 miles. One hundred thousand of these tires have been sold and are on the road. (a) After what mileage would you expect 10% of the tires to have worn out? (b) How many tires are expected to wear out between 60,000 and 70,000 miles? (c) How many tires are expected to have a life of less than 20,000 miles? (d) What are your major assumptions in the calculations for (a), (b) and (c)? (e) Estimate the 95% confidence interval on the population mean.
Elements Of Electromagnetics
7th Edition
ISBN:9780190698614
Author:Sadiku, Matthew N. O.
Publisher:Sadiku, Matthew N. O.
ChapterMA: Math Assessment
Section: Chapter Questions
Problem 1.1MA
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Transcribed Image Text:Question 2
In a test measuring the life span of a certain brand of tire, 100 tires are tested. The results
showed an average lifetime of 50,000 miles, with a standard deviation of 5,000 miles. One
hundred thousand of these tires have been sold and are on the road.
(a) After what mileage would you expect 10% of the tires to have worn out?
(b) How many tires are expected to wear out between 60,000 and 70,000 miles?
(c) How many tires are expected to have a life of less than 20,000 miles?
(d) What are your major assumptions in the calculations for (a), (b) and (c)?
(e) Estimate the 95% confidence interval on the population mean.
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