Mahalanobis Distance Cutoff Tool
Calculate the critical chi-square value for identifying multivariate outliers using Mahalanobis distance.
About This Tool
Mahalanobis distance measures how far a case is from the centroid of a distribution, accounting for correlations among variables. Cases with Mahalanobis distance exceeding the critical chi-square value (at p < .001) are typically considered multivariate outliers.
| Variables (df) | Critical χ² (p=.001) |
|---|---|
| 2 | 13.816 |
| 3 | 16.266 |
| 4 | 18.467 |
| 5 | 20.515 |
| 6 | 22.458 |
| 7 | 24.322 |
| 8 | 26.124 |
| 9 | 27.877 |
| 10 | 29.588 |
| 15 | 37.697 |
| 20 | 45.315 |
| 25 | 52.620 |
| 30 | 59.703 |