A researcher was interested in comparing the salaries of female and male employees of a particular company. independent random s
amples 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, µ1- µ2, between the mean weekly salary of all female employees and the mean weekly salary of all male employees was determined to be (-$110,-$10). Interpret the results.
Based on given data, we can say with 95% confidence that the female employees at this company average between $110 less and $10 less per week than the male employees.
Step-by-step explanation:
Sample 1 for female
Sample 2 for male
Confidence = 90%
Difference in mean weekly salary of all female employees and the mean weekly salary of all male employees = µ₁- µ₂
So based on above given data, we can say with 95% confidence that the female employees at this company average between $110 less and $10 less per week than the male employees.
