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Missing parts : Sketch the sampling distribution and show the area corresponding to the P-value D) Based on your answers in part (a) to (c),

Missing parts : Sketch the sampling distribution and show the area corresponding to the P-value D) Based on your answers in part (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a? E) interpret your conclusion in the context of the application... I can't take a picture of the whole question but I might be able to if you ask for clarification.

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__..s_ ................. Inna nuunulmlunll-WlMIS. - AS UR YEACHER in this problem. assume that the distribution of differences is approximately normal. Note: For degrees of freedom of. not in the Student's t table, use the closut cl]. that is smaller. in some situations, this choice of of. may Increase the P-vaiue p by a small amount and therefore pmdune a slightly more 'oonservatlve' answer. Are Nnerica's top chief executive officers ((1505) really worth all that money? One way to answer thls question Is to look at row B, the annual company percentage increase In revenue, that same company. Suppose a random sample of companies yielded the Following data: versus row A, the CEO's annual percentage salary increase in m use SALT Do these data indicate that the population mean percentage Increase In corporate revenue (row 6) ls different from the population mean pertenbage increase (a) What is the level of signicance? 9.05 v ' State the null and alternate hypotheses. (b) what sampling distribuo'on will you use? What assumptions are you making? The standard normal. We assume that d has an approximately normal distribution. / . 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. l v What is the value of the sample test statistic? (Round your answer to three decimal places.) 0370 , , x P-value > 0.500 I 0.250

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