Outlier Calculator
An outlier is a data point that lies far from other observations. The IQR method defines outliers as values below Q1 − 1.5×IQR or above Q3 + 1.5×IQR (mild outliers) or ±3×IQR (extreme outliers). The z-score method flags values more than 2–3 standard deviations from the mean.
- 1Sort data and find Q1 (25th percentile) and Q3 (75th percentile)
- 2Calculate IQR = Q3 − Q1
- 3Lower fence = Q1 − 1.5 × IQR | Upper fence = Q3 + 1.5 × IQR
- 4Points outside fences are flagged as outliers
- 5Z-score method: z = (x − mean) / standard deviation; |z| > 3 is an outlier
Dataset: 10, 12, 11, 13, 100=100 is an outlier (Q3+1.5×IQR ≈ 16)IQR = 13−11 = 2, fence = 13+3 = 16
Dataset with mean=50, SD=10; value=82=Z-score = 3.2 — outlierMore than 3 standard deviations above mean
🔒
100% मुफ़्त
कोई साइनअप नहीं
✓
सटीक
सत्यापित सूत्र
⚡
तत्काल
तुरंत परिणाम
📱
मोबाइल अनुकूल
सभी उपकरण