A trimmed mean may be preferable to a mean when a data set has extreme values.

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A trimmed mean is calculated by removing a certain percentage of the highest and lowest values from the data set before calculating the mean. This process eliminates the influence of extreme values, also referred to as outliers, on the mean. Therefore, a trimmed mean is a better measure of central tendency than a mean when a data set contains extreme values.

A Trimmed Mean May Be Preferable to a Mean When