A tire manufacturer has been producing tires with an average life expectancy of 26,000 miles. Now the company is advertising that its new tires' life expectancy has increased. In order to test the legitimacy of the advertising campaign, an independent testing agency tested a sample of 8 of their tires and has provided the following data.Life Expectancy(In Thousands of Miles)2827252628262925a.Determine the mean and the standard deviation.b.Formulate the correct hypotheses to determine whether or not the tire company is using legitimate adversiting. c.At the .01 level of significance using the critical value approach, test to determine whether or not the tire company is using legitimate advertising. Assume the population is normally distributed.d.Repeat the test using the p-value approach.

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Answered: A tire manufacturer has been producing…

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 tire manufacturer has been producing tires with an average life expectancy of 26,000 miles. Now the company is advertising that its new tires' life expectancy has increased. In order to test the legitimacy of the advertising campaign, an independent testing agency tested a sample of 8 of their tires and has provided the following data.

Life Expectancy
(In Thousands of Miles)
28
27
25
26
28
26
29
25

a.	Determine the mean and the standard deviation.
b.	Formulate the correct hypotheses to determine whether or not the tire company is using legitimate adversiting.
c.	At the .01 level of significance using the critical value approach, test to determine whether or not the tire company is using legitimate advertising. Assume the population is normally distributed.
d.	Repeat the test using the p-value approach.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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