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 increase for company |
19 | 20 | 27 | 12 | 5 | 7 | 30 | 6 |
A: Percent increase for CEO |
11 | 22 | 30 | 5 | 7 | 2 | 27 | 1 |
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? Assume that the distribution of differences is approximately normal, mound-shaped and symmetric. Use a 10% level of significance. What is α?
We use paired t test
The null and alternative hypothesis
Test statistic
where
Calculation
B | A | d=B-A | |
19 | 11 | 8 | |
20 | 22 | -2 | |
27 | 30 | -3 | |
12 | 5 | 7 | |
5 | 7 | -2 | |
7 | 2 | 5 | |
30 | 27 | 3 | |
6 | 1 | 5 | |
21 |
sd = 4.37
t= 1.698
df =7
P value = 0.1333
P value >
We fail to reject H0
There is not sufficient evidence to conclude that mean percentage increase in corporate revenue is different from population mean percentage increase in CEO salary
Get Answers For Free
Most questions answered within 1 hours.