C) what is the value of the sample test statistics ? Round your answer to three decimal places _____D) find or estimate the p value__ p value > 0.500___0.250 we reject H 0, The data are not statistically significant.___ we fail to reject, data are statistically significant___ we reject , the data are statistically significant ___ we fail to reject , the data are not statistically significant G) interpret your conclusion in the context application___ reject H0, at the 5% level of significance, the evidence is sufficient to claim, a difference in population mean percentage increases for corporate revenue and CEO salary .__fail to reject """"___fail to reject, the evidence is insufficient """"___reject , the evidence is insufficient """"

In this problem, assume that the distribution of differences is approximately normal. Note: For degrees of freedom d.f. not in the Student's t table, use the closest d.f. that is smaller. In some situations, this choice of d.f. may increase the P-value by a small amount and therefore produce a slightly more "conservative" answer. Are America's top chief executive officers (CEOs) really worth all that money? One way to answer this question is to look at row B, the annual company percentage increase in revenue, versus row A, the CEO's annual percentage salary increase in that same company. Suppose a random sample of companies yielded the following data: B: Percent increase 24 25 27 6 4 21 37 for company A: Percent increase 21 26 14 -4 for CEO 23 19 15 30 In USE SALT Do these data indicate that the population mean percentage increase in corporate revenue (row B) is different from the population mean percentage increase in CEO salary? Use a 5% level of significance. (Let d = B - A.) (a) What is the level of significance? State the null and alternate hypotheses. O Ho: Hd + 0; H1: Hd = 0 O Ho: Hd = 0; H1: Hd 0; H1: Hd = 0 O Ho: Hd = 0; H1 : Hd > 0 (b) What sampling distribution will you use? What assumptions are you making? O The Student's t. We assume that d has an approximately uniform distribution. The Student's t. We assume that d has an approximately normal distribution. The standard normal. We assume that d has an approximately uniform distribution. The standard normal. We assume that d has an approximately normal distribution