Suppose a tire company called RoadX has been producing tires with an average life expectancy of...
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Suppose a tire company called RoadX has been producing tires with an average life expectancy of 26000 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 10 of their tires and has provided the following data: 26200, 27000, 25000, 25500, 28200, 25000, 26500, 27500, 26800, 27000 You can copy the data to R as: x=c() a. What are the correct null and alternative hypotheses for this problem? [Select] b. The sample mean life expectancy of tires tested by the agency equals to [Select] 26000 26350 26470 25970 Suppose a tire company called RoadX has been producing tires with an average life expectancy of 26000 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 10 of their tires and has provided the following data: 26200, 27000, 25000, 25500, 28200, 25000, 26500, 27500, 26800, 27000 You can copy the data to R as: x=c() a. What are the correct null and alternative hypotheses for this problem? [Select] b. The sample mean life expectancy of tires tested by the agency equals to [Select] 26000 26350 26470 25970
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