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 for company |
26 | 25 | 23 | 18 | 6 | 4 | 21 | 37 |
A: Percent
increase for CEO |
21 | 23 | 20 | 14 | −4 | 19 | 15 | 30 |
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.
H0: μd = 0; H1: μd > 0H0: μd > 0; H1: μd = 0 H0: μd = 0; H1: μd < 0H0: μd = 0; H1: μd ≠ 0H0: μd ≠ 0; H1: μd = 0
(b) What sampling distribution will you use? What assumptions are
you making?
The Student's t. We assume that d has an approximately normal distribution.The Student's t. We assume that d has an approximately uniform 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.
What is the value of the sample test statistic? (Round your answer
to three decimal places.)
(c) Find (or estimate) the P-value.
P-value > 0.5000.250 < P-value < 0.500 0.100 < P-value < 0.2500.050 < P-value < 0.1000.010 < P-value < 0.050P-value < 0.010
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