Independent simple random samples are taken to test the difference between the means of two populations whose variances are not known. Given the sample sizes are n1 = 11 and n2 = 16; and the sample variances are S12 = 33 and S22 = 64, what is the correct distribution to use for performing the test?
A. |
t distribution with 49 degrees of freedom |
|
B. |
t distribution with 59 degrees of freedom |
|
C. |
t distribution with 24 degrees of freedom |
|
D. |
t distribution with 27 degrees of freedom |
2.5 points
Question 8
Exhibit 2 (Questions 8-11)
In order to determine whether or not there is a significant difference between the proportion of male and female executives with annual salary of at least $150,000, the following data based on two random samples have been accumulated.
Male executive Female executive
Sample size n1 = 80 n2 = 60
Annual salary of at least $150,000 64 36
Refer to Exhibit 2. What is the point estimate of the difference between the proportions of executives with annual salary of at least $150,000 for the two populations of male and female executives?
A. |
0.16 |
|
B. |
0.10 |
|
C. |
0.20 |
|
D. |
0.22 |
2.5 points
Question 9
Exhibit 2 (Questions 8-11)
In order to determine whether or not there is a significant difference between the proportion of male and female executives with annual salary of at least $150,000, the following data based on two random samples have been accumulated.
Male executive Female executive
Sample size n1 = 80 n2 = 60
Annual salary of at least $150,000 64 36
Refer to Exhibit 2. What is the standard error of the difference between the sample proportions of male and female executives with annual salary of at least $150,000?
A. |
0.0775 |
|
B. |
0.0456 |
|
C. |
0.0593 |
|
D. |
0.3158 |
2.5 points
Question 10
Exhibit 2 (Questions 8-11)
In order to determine whether or not there is a significant difference between the proportion of male and female executives with annual salary of at least $150,000, the following data based on two random samples have been accumulated.
Male executive Female executive
Sample size n1 = 80 n2 = 60
Annual salary of at least $150,000 64 36
Refer to Exhibit 2. Using a 95% confidence level, what is the margin of error for the difference between the two population proportions?
A. |
0.191 |
|
B. |
0.152 |
|
C. |
0.576 |
|
D. |
0.039 |
2.5 points
Question 11
Exhibit 2 (Questions 8-11)
In order to determine whether or not there is a significant difference between the proportion of male and female executives with annual salary of at least $150,000, the following data based on two random samples have been accumulated.
Male executive Female executive
Sample size n1 = 80 n2 = 60
Annual salary of at least $150,000 64 36
Refer to Exhibit 2. What is a 95% confidence interval estimate of the difference between the population proportion of male and female executives who have an annual salary of at least $150,000?
A. |
- 0.091 to 0.291 |
|
B. |
1.145 to 2.145 |
|
C. |
0.048 to 0.352 |
|
D. |
0.032 to 0.732 |
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