outlier
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outlier
Summary
outlier ranks in the top 2% of general entities by monthly Wikipedia readership (1,476 views/month).[1]
Key Facts
- outlier is a type of datapoint[2].
- outlier's Commons category is recorded as Outliers[3].
- outlier's has cause is recorded as measurement error[4].
- outlier's has cause is recorded as systematic error[5].
- outlier's has cause is recorded as flaw[6].
- outlier's topic's main category is recorded as Category:Statistical outliers[7].
- outlier's has effect is recorded as omission[8].
- outlier's has characteristic is recorded as difference[9].
- outlier's test method is recorded as 68–95–99.7 rule[10].
- outlier's test method is recorded as Chauvenet's criterion[11].
- outlier's test method is recorded as Grubbs' test for outliers[12].
- outlier's test method is recorded as Dixon's Q test[13].
- outlier's test method is recorded as Mahalanobis distance[14].
- outlier's test method is recorded as leverage[15].
- outlier's test method is recorded as Peirce's criterion[16].
- outlier's test method is recorded as anomaly detection[17].
- outlier's test method is recorded as studentized residual[18].
- outlier's maintained by WikiProject is recorded as WikiProject Mathematics[19].
Body
Definition and Type
outlier is a type of datapoint[2].
Why It Matters
outlier ranks in the top 2% of general entities by monthly Wikipedia readership (1,476 views/month).[1] outlier has Wikipedia articles in 22 language editions, a strong signal of global cultural recognition.[20] outlier is known by 39 alternative names across languages and contexts.[21]