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Detect statistical anomalies and numerical outliers in datasets using Tukey's 1.5×IQR rule and standard 3-sigma Z-scores.
IQR & Z-Score Anomaly Scanner
Detect statistical outliers and anomalous spikes in numerical datasets using Tukey's Fences (1.5 × IQR) and Modified Z-Score methods.
Outliers Found
2 outliers
Valid Normal Boundary
6.5 to 19.5
-45, 105
Standards Verified
Deterministic & Accurate Output
Tested against official specifications for reliable, reproducible calculation results.
How to Use This Tool
- Enter your input values in the designated fields above.
- Click Calculate or type to see instant real-time results.
- Use the Copy button to copy the output directly to your clipboard.
Supported Formats, Boundaries & Privacy
Inputs & Boundaries: Inputs must be valid numerical values within IEEE 754 double-precision floating-point bounds.
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