|WikiProject Statistics||(Rated Start-class, Low-importance)|
- What are the advantages/disadvantages of the two approaches? —Preceding unsigned comment added by 188.8.131.52 (talk) 05:27, 23 September 2010 (UTC)
Drawbacks of Trimmed Mean??
This source (http://davidmlane.com/hyperstat/A11971.html) points out the fact that trimmed mean is actually better estimator of central tendency with highly skewed samples, since a median essentially is a 100% trimmed mean.
extract from the source: A trimmed mean is obviously less susceptible to the effects of extreme scores than is the arithmetic mean. It is therefore less susceptible to sampling fluctuation than the mean for extremely skewed distributions. It is less efficient than the mean for normal distributions
Unless I missunderstood something, please correct me if I did (it's not quite clear explanation), then the statement in the articlee is contradictory here!