A Researcher Was Interested in Comparing the Salaries of Female $\mu _ { 1 } - \mu _ { 2 } ,$

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 98% 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 $( - \$ 180 , \$ 40 )$

A) Based on these data,we are 98% confident that male employees at this company average between $180 less and $40 more per week than the female employees.
B) We are 98% confident that a randomly selected female employee at this company makes between $180 less and $40 more per week than a randomly selected male employee.
C) Based on these data,we know that 98% of female employees at this company make between $180 less and $40 more than the male employees.
D) We know that 98% of all random samples of employees at this company will show that the average female salary is between $180 less and $40 more per week than the average male salary.
E) With 98% confidence,we can say that female employees at this company average between $180 less and $40 more per week than the male employees.