juniorAnomaly Detection
What is the role of Interquartile Range (IQR) in anomaly detection?
Updated May 5, 2026
Short answer
It defines boundaries based on the middle 50% of the data[cite: 1].
Deep explanation
Outliers are points falling below Q1 - 1.5IQR or above Q3 + 1.5IQR[cite: 1].
Real-world example
Box plots used to show data spread and outliers[cite: 1].
Common mistakes
- Using 1.5 as a universal constant for all data types[cite: 1].
Follow-up questions
- Difference between IQR and Z-score?