In any difference between the two brands of tires in the mean distance (in thousands or km) driven on them before they need to be replaced. In the company's testing lab, Heather tests a random sample of 13 Puma tires and a random sample of 15 Eternal tires. These samples are chosen independently. For the Puma tire, the sample mean distance (in thousands or km) until they would need to be replaced is 5738 with a sample variance of 6.50. For the Eternal tires, the sample mean distance (in thousands or km) until they would need to be replaced is 573 with a sample variance of 70.58. Assume that the two populations of distances driven are approximately normally distributed. Can Heather conclude at the 0.10 level of significance that there is a difference between the mean distance (in thousands of km) driven on Puma tires before they need to be replaced compared to Eternal tires? Perform a two-tailed test. Then complete the steps below. Carry your intermediate computations to three or more decimal places (if necessary). Construct a t-test.