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n SRS of 100 of a certain popular model car in 2013 found that 20 had a certain minor defect in the brakes. An SRS of 400 of this model car in 014 found that 50 had the minor defect in the brakes. Let p₁ and p2 be the proportion of all cars of this model in 2013 and 2014, respectively, tha ctually contain the defect. A 90% confidence interval for p₁-P2 is 0.075 ± 0.071. Suppose the sample of 2013 cars had consisted of only seven cars, of which two had the minor brake defect. Suppose also the sample of 2014 cars mad consisted of only six cars, of which three had the minor brake defect. A 90% confidence interval for p₁-p2 is now: O unsafe to compute using the normal distribution O the same as for the original sample of 100 and 400 cars.

n SRS of 100 of a certain popular model car in 2013 found that 20 had a certain minor defect in the brakes. An SRS of 400 of this model car in 014 found that 50 had the minor defect in the brakes. Let p₁ and p2 be the proportion of all cars of this model in 2013 and 2014, respectively, tha ctually contain the defect. A 90% confidence interval for p₁-P2 is 0.075 ± 0.071. Suppose the sample of 2013 cars had consisted of only seven cars, of which two had the minor brake defect. Suppose also the sample of 2014 cars mad consisted of only six cars, of which three had the minor brake defect. A 90% confidence interval for p₁-p2 is now: O unsafe to compute using the normal distribution O the same as for the original sample of 100 and 400 cars.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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An SRS of 100 of a certain popular model car in 2013 found that 20 had a certain minor defect in the brakes. An SRS of 400 of this model car in 2014 found that 50 had the minor defect in the brakes. Let p₁ and p2 be the proportion of all cars of this model in 2013 and 2014, respectively, that actually contain the defect. A 90% confidence interval for p₁-P2 is 0.075 ± 0.071. Suppose the sample of 2013 cars had consisted of only seven cars, of which two had the minor brake defect. Suppose also the sample of 2014 cars had consisted of only six cars, of which three had the minor brake defect. A 90% confidence interval for p1-P2 is now: O unsafe to compute using the normal distribution O the same as for the original sample of 100 and 400 cars. O the same as 99% for the original sample of 100 and 400 cars. much narrower than that for the original sample of 100 and 400 cars.
Transcribed Image Text:An SRS of 100 of a certain popular model car in 2013 found that 20 had a certain minor defect in the brakes. An SRS of 400 of this model car in 2014 found that 50 had the minor defect in the brakes. Let p₁ and p2 be the proportion of all cars of this model in 2013 and 2014, respectively, that actually contain the defect. A 90% confidence interval for p₁-P2 is 0.075 ± 0.071. Suppose the sample of 2013 cars had consisted of only seven cars, of which two had the minor brake defect. Suppose also the sample of 2014 cars had consisted of only six cars, of which three had the minor brake defect. A 90% confidence interval for p1-P2 is now: O unsafe to compute using the normal distribution O the same as for the original sample of 100 and 400 cars. O the same as 99% for the original sample of 100 and 400 cars. much narrower than that for the original sample of 100 and 400 cars.
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