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A trimmed mean removes a percentage of the most extreme values from each tail before computing the mean, making it robust to outliers while retaining more information than the median.

Stapsgewijze handleiding

  1. 1Sort data ascending
  2. 2Remove bottom k% and top k% of observations
  3. 3Calculate arithmetic mean of remaining values

Uitgewerkte voorbeelden

Invoer
Data: 2,4,5,6,7,100 · 10% trim
Resultaat
Trimmed mean 5.5 vs raw mean 20.7
Outlier 100 inflates raw mean dramatically

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