Answered: Perform a wo-tailed test. Then complete…

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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$A consumer products testing group is evaluating two competing brands of tires, Brand 1 and Brand 2. Tread wear can vary considerably depending on the type of car, and the group is trying to eliminate this effect by installing the two brands on the same 10 cars, chosen at random. In particular, each car has one tire of each brand on its front wheels, with Brand 1 on the left front wheel, and the rest of the tires having Brand 2. After all of the cars are driven over the standard test course for 20,000 miles, the amount of tread wear (in inches) is recorded, as shown in the table below. | Car | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----| | Brand 1 | 0.35 | 0.54 | 0.40 | 0.54 | 0.54 | 0.32 | 0.37 | 0.32 | 0.62 | 0.45 | | Brand 2 | 0.45 | 0.44 | 0.52 | 0.46 | 0.40 | 0.37 | 0.40 | 0.47 | 0.38 | 0.29 | | Difference (Brand 1 - Brand 2) | -0.10 | 0.10 | -0.12 | 0.08 | 0.14 | -0.05 | -0.03 | -0.15 | 0.24 | 0.16 | Based on these data, can the consumer group conclude, at the 0.10 level of significance, that the mean tread wears of the brands differ? Answer this question by performing a hypothesis test regarding $ \mu_d $ (which is $ \mu $ with a letter "d" subscript), the population mean difference in tread wear for the two brands of tires. Assume that this population of differences (Brand 1 minus Brand 2) is normally distributed. Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified. ($

Transcribed Image Text:A consumer products testing group is evaluating two competing brands of tires, Brand 1 and Brand 2. Tread wear can vary considerably depending on the type of car, and the group is trying to eliminate this effect by installing the two brands on the same 10 cars, chosen at random. In particular, each car has one tire of each brand on its front wheels, with Brand 1 on the left front wheel, and the rest of the tires having Brand 2. After all of the cars are driven over the standard test course for 20,000 miles, the amount of tread wear (in inches) is recorded, as shown in the table below. | Car | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----| | Brand 1 | 0.35 | 0.54 | 0.40 | 0.54 | 0.54 | 0.32 | 0.37 | 0.32 | 0.62 | 0.45 | | Brand 2 | 0.45 | 0.44 | 0.52 | 0.46 | 0.40 | 0.37 | 0.40 | 0.47 | 0.38 | 0.29 | | Difference (Brand 1 - Brand 2) | -0.10 | 0.10 | -0.12 | 0.08 | 0.14 | -0.05 | -0.03 | -0.15 | 0.24 | 0.16 | Based on these data, can the consumer group conclude, at the 0.10 level of significance, that the mean tread wears of the brands differ? Answer this question by performing a hypothesis test regarding $ \mu_d $ (which is $ \mu $ with a letter "d" subscript), the population mean difference in tread wear for the two brands of tires. Assume that this population of differences (Brand 1 minus Brand 2) is normally distributed. Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified. (