Follow-up to the above question: 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 --> this is the same data as the previous question. You can copy the data to R as: x=c() c. What is the test statistic, t= [Select] > Test statistic: t= - (+) d. The degree of freedom to do the t-test for this problem = e. The p-value = [Select] [Select] V. Note that this is a one-tailed hypothesis. use the R function pt() to find the area to the right of the test statistic. f. At a = [Select] 0.05, we can conclude that the claim made by the company is legitimate because we cannow reject the null hypothesis. not legitimate because we cannot reject the null hypothesis. legitimate because we can reject the null hypothesis. >