Exhibit 10-1
Salary information regarding two independent random samples of male
and female employees of a large company is shown below.
Male |
Female |
|
Sample size |
64 |
36 |
Sample mean salary (in $1000s) |
44 |
41 |
Population variance |
128 |
72 |
Refer to Exhibit 10-1. At 95% confidence, we have enough evidence to conclude that the _____.
a. |
We fail to reject the null hypothesis; we conclude that the average average salary of males is at least as much as females. |
|
b. |
We reject the null hypothesis; we conclude that the average average salary of males is significantly lower than females. |
|
c. |
We fail to reject the null hypothesis; we conclude salaries of males and females are equal. |
|
d. |
We reject the null hypothesis; we conclude that the average average salary of males is significantly greater than females. |
difference in sample means = x̅1 - x̅2 =
44 - 41 = 3
std error , SE = √(σ1²/n1+σ2²/n2) =
2.0000
Z-statistic = ((x̅1 - x̅2)-µd)/SE = 3
/ 2.0000 = 1.5000
p-value = 0.1336 [excel formula
=2*NORMSDIST(z)]
p-value>α , Do not reject null hypothesis
We fail to reject the null hypothesis; we conclude salaries of males and females are equal.
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