Question

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 that a random sample of companies yielded the following data:

B: Percent for company 28 16 25 26 18 20 7 10

A: Percent for CEO 23 14 23 18 23 10 4 14

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. Find (or estimate) the P-value.

Select one:

a. P-value = 0.50

b. P-value = 0.40

c. 0.02 < P-value < 0.05

d. 0.20 < P-value < 0.40

e. 0.01 < P-value < 0.02

Answer 1

Solution:-

State the hypotheses. The first step is to state the null hypothesis and an alternative hypothesis.

Null hypothesis: u₁ = u ₂
Alternative hypothesis: u₁ u ₂

Note that these hypotheses constitute a two-tailed test.

Formulate an analysis plan. For this analysis, the significance level is 0.05. Using sample data, we will conduct a two-sample t-test of the null hypothesis.

Analyze sample data. Using sample data, we compute the standard error (SE), degrees of freedom (DF), and the t statistic test statistic (t).

SE = sqrt[(s₁²/n₁) + (s₂²/n₂)]
SE = 3.6361
DF = 14
t = [ (x₁ - x₂) - d ] / SE

t = 0.722

where s₁ is the standard deviation of sample 1, s₂ is the standard deviation of sample 2, n₁ is the size of sample 1, n₂ is the size of sample 2, x₁ is the mean of sample 1, x₂ is the mean of sample 2, d is the hypothesized difference between the population means, and SE is the standard error.

Since we have a two-tailed test, the P-value is the probability that a t statistic having 14 degrees of freedom is more extreme than -0.722; that is, less than -0.722 or greater than 0.722.

Thus, the P-value = 0.482

Interpret results. Since the P-value (0.482) is greater than the significance level (0.05), we have to accept the null hypothesis.

From the above test we have sufficient evidence that the population mean percentage increase in corporate revenue (row B) is different from the population mean percentage increase in CEO salary.