An overtime hours distribution shows extreme outliers. What should analysts do before dropping those points?
Select an answer to reveal the explanation.
Short Explanation
Outliers are suspects, not trash by default—maybe that overtime spike is the whole plot. Investigate before you drop. Sometimes the weird point is the finding.
Full Explanation
Outliers can represent data errors, rare but valid events, or the primary operational signal. Investigation precedes removal or adjustment so analysts do not discard the story or hide defects. Automatic deletion, unexamined winsorizing, or substituting unrelated measures are poor defaults. Outlier handling is an analysis-fundamentals discipline.