A Researcher Was Interested in Comparing the Salaries of Female $95 \%$

A researcher was interested in comparing the salaries of female and male employees of a particular company. Independent random samples of female employees (sample 1) and male employees (sample 2) were taken to calculate the mean salary, in dollars per week, for each group. A $95 \%$ confidence interval for the difference, $\mu _ { 1 } - \mu _ { 2 }$ , between the mean weekly salary of all female employees and the mean weekly salary of all male employees was determined to be $( - \$ 180 , \$ 60 )$ .

A) We know that $95 \%$ of female employees at this company make between $\$ 180$ less and $\$ 60$ more than the male employees.
B) We know that $95 \%$ of all random samples done on the employees at this company will show that the average female salary is between $\$ 180$ less and $\$ 60$ more per week than the average male salary.
C) We are $95 \%$ confident that a randomly selected female employee at this company makes between $\$ 180$ less and $\$ 60$ more per week than a randomly selected male employee.
D) Based on these data, with $95 \%$ confidence, female employees at this company average between $\$ 180$ less and $\$ 60$ more per week than the male employees.
E) Based on these data, with $95 \%$ confidence, male employees at this company average between $\$ 180$ less and $\$ 60$ more per week than the female employees.