A computer systems retailer wishes to compare the average

a) For this dataset, why should the company use a paired difference analysis instead of an independent samples analysis? 

b) Compute the 95% confidence interval for the average monthly sales of each server type (μ1, μ2). 

c) Compute the 95% confidence interval for the difference in monthly sales μ1 − μ2. 

d) Notice that the confidence intervals in part b overlap, but the confidence interval in part c does not contain μ1 − μ2 = 0. Explain the discrepancy between these two results. Which result is a better indicator of whether or not μ1 and μ2 are likely to be identical? 

e) Is the sample evidence sufficient to conclude whether μ1 and μ2 are different? To answer this question, perform a hypothesis test at α = .05. You should state the alternative and null hypotheses, compare the observed t-score to the t-score threshold, estimate the p-value, and state the conclusion of the test. 

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