Exhibit 10-1 Salary information regarding male and female employees of a large company is shown below....

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Exhibit 10-1 Salary information regarding male and female employees of a large company is shown below. Sample Size Sample Mean Salary (in $1,000) Population Variance (²) b. 1.645 c. 3.920 d. 2.000 Male 64 3. Refer to Exhibit 10-1. The point estimate of the difference between the means of the two populations is a. -28 b. 3 44 4. Refer to Exhibit 10-1. The standard error for the difference between the two means is a. 4 b. 7.46 c. 4.24 d. 2.0 5. Refer to Exhibit 10-1. At 95% confidence, the margin of error is a. 1.96 128 a. 2.0 b. 1.5 c. 1.96 d. 1.645 6. Refer to Exhibit 10-1. The 95% confidence interval for the difference between the means of the two populations is a. 0 to 6.92 b. -2 to 2 c. -1.96 to 1.96 d. -0.92 to 6.92 8. Refer to Exhibit 10-1. The p-value is a. 0.0668 b. 0.0334 c. 1.336 d. 1.96 Female 36 72 7. Refer to Exhibit 10-1. If you are interested in testing whether or not the average salary of males is significantly greater than that of females, the test statistic is 9. Refer to Exhibit 10-1. At 95% confidence, the conclusion is the a. average salary of males is significantly greater than females b. average salary of males is significantly lower than females c. salaries of males and females are not equal d. None of these alternatives is correct. Exhibit 10-1 Salary information regarding male and female employees of a large company is shown below. Sample Size Sample Mean Salary (in $1,000) Population Variance (²) b. 1.645 c. 3.920 d. 2.000 Male 64 3. Refer to Exhibit 10-1. The point estimate of the difference between the means of the two populations is a. -28 b. 3 44 4. Refer to Exhibit 10-1. The standard error for the difference between the two means is a. 4 b. 7.46 c. 4.24 d. 2.0 5. Refer to Exhibit 10-1. At 95% confidence, the margin of error is a. 1.96 128 a. 2.0 b. 1.5 c. 1.96 d. 1.645 6. Refer to Exhibit 10-1. The 95% confidence interval for the difference between the means of the two populations is a. 0 to 6.92 b. -2 to 2 c. -1.96 to 1.96 d. -0.92 to 6.92 8. Refer to Exhibit 10-1. The p-value is a. 0.0668 b. 0.0334 c. 1.336 d. 1.96 Female 36 72 7. Refer to Exhibit 10-1. If you are interested in testing whether or not the average salary of males is significantly greater than that of females, the test statistic is 9. Refer to Exhibit 10-1. At 95% confidence, the conclusion is the a. average salary of males is significantly greater than females b. average salary of males is significantly lower than females c. salaries of males and females are not equal d. None of these alternatives is correct.

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