Data sets illustrate that the median is more resistant to outliers and extreme values than the mean. While the mean can be significantly affected by extreme data points, causing it to misrepresent the central tendency, the median remains stable as it focuses solely on the middle value of a sorted data set. This property makes the median a better measure of central tendency in skewed distributions. Thus, when analyzing data, choosing the median over the mean can provide a clearer picture of the typical value.
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