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Winsorized mean

Winsorized mean

8.9
A type of average where you replace the highest and lowest values with closer values before finding the average
  • noun
  • /ˈwɪnzəˌraɪzd miːn/
  • Specialized
translation icon : media Winsorizada
  • After removing the most extreme values, the Winsorized mean provided a more robust estimate of central tendency.

Examples

  • Researchers often use the Winsorized mean to minimize the effect of outliers in data analysis.

  • The Winsorized mean can be particularly useful when the data contains several unusually high or low observations.

  • The Winsorized mean provides a more robust average.

  • In our analysis, we calculated the Winsorized means for each group.

  • Researchers often use the Winsorized mean to minimize the effect of outliers in data analysis.

  • After removing the most extreme values, the Winsorized mean provided a more robust estimate of central tendency.

  • The Winsorized mean can be particularly useful when the data contains several unusually high or low observations.

How Robust

median
  • Specialized
10 5.3
Winsorized mean
  • Specialized
8.9
mean
  • Specialized
29 3.5

Surface Forms

Morphology

Winsorized + mean

While 'mean' clearly indicates an average, 'Winsorized' is an eponymous, technical adjective whose specific procedure (replacing extreme values before averaging) cannot be inferred from the name or the suffix '-ized' by an average B1 learner. The compound therefore only signals a modified mean but gives no predictable information about how it is modified, making it opaque without statistical knowledge.

Etymology

Winsorized mean is named for a practical trick to make averages safer from extreme numbers. To make a Winsorized mean, you replace the biggest and smallest values with the nearest remaining values so the mean is not pulled by 'outliers'.