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...


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A tire manufacturer has been producing tires with an average life expectancy of 26,000 miles. Now the company is<br>advertising that its new tires' life expectancy has increased. In order to test the legitimacy of the advertising campaign,<br>an independent testing agency tested a sample of 8 of their tires and has provided the following data.<br>Life Expectancy<br>(In Thousands of Miles)<br>28<br>27<br>25<br>26<br>28<br>26<br>29<br>25<br>а.<br>Determine the mean and the standard deviation.<br>Formulate the correct hypotheses to determine whether or not the tire company is using<br>b.<br>legitimate adversiting.<br>At the .01 level of significance using the critical value approach, test to determine whether or<br>с.<br>not the tire company is using legitimate advertising. Assume the population is normally<br>distributed.<br>d. Repeat the test using the p-value approach.<br>

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

Jun 04, 2022
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