Why would a human resources department use both mean and median when doing a salary evaluation of a department?

While this statement suggests a potential outcome of salary analysis, it does not accurately explain why both mean and median are used. A difference between these two measures may indicate outliers rather than directly implying that certain employees require raises; the focus should be on the distribution of salaries, not just individual salary adjustments.

While a large difference might suggest variability in salary, it does not directly indicate an abnormal standard deviation. The standard deviation measures how spread out salaries are, but it does not explain the relationship between the mean and median. The focus should be on the presence of outliers rather than the standard deviation alone.

This statement incorrectly implies that a disparity indicates an error. A difference between mean and median is a normal occurrence in skewed distributions and does not reflect a calculation mistake. Instead, it serves as a signal for the analysis of salary distribution, particularly regarding outliers.