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You are interested in testing the distance of two golf balls, Brand A and Brand B. You take a random sample of 100 golfers, each of whom hits Brand A once and Brand B once. Define X as the distance for Brand A, and define Y as the distance for Brand B, with the distances measured in yards. In your sample of 100 golfers, the ΣX_{i} = 20,000 yards, and the sum of ΣY_{i} = 19,500 yards. The sum of ΣX^{2}_{i} = 4,090,000 yards squared, and the sum of ΣY^{2}_{i} = 3,892,500 yards squared. The sum of the product between ΣX_{i}Y_{i} equals 3,963,000 yards squared.
(a) Using the asymptotic distribution, create a 95-percent confidence interval for the average distance of Brand A.
(b) Using the asymptotic distribution, create a 95-percent confidence interval for the average distance of Brand B.
(c) Using the asymptotic distribution, test the hypothesis that the average distance of Brand A equals the average distance of Brand B. Use a two-tailed test and a five-percent level of significance.
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