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  "body": "\n## Summary\n\nAn L-estimator is an [[estimator|0SSS6ERQ0S]] that is a linear combination of the [[order statistics|58NHGZDSRE]] of the sample.\nThe sample median, the trimmed means, the midrange and the interquartile range are all L-estimators.\nSmall or zero weights on the extreme order statistics give estimators that resist outliers.\nThis makes L-estimators a basic family of [[robust statistics|J7410PG2DR]].\n\n## Explanations\n\n### L1 human\n\nSort the data from smallest to largest.\nAn L-estimator multiplies each sorted value by a fixed weight and adds the results.\nThe mean gives every value the same weight, while the median puts all the weight on the middle value.\nA trimmed mean drops a few values at each end and averages the rest, so a single wild value cannot pull it far.\n",
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