When a distribution is skewed,the median is a better measure of the "average" than the mean.

Question

Quizplus · Accepted Answer

Skewed distributions have an uneven shape, with more of the data points clustering at one end than the other. In such cases, the mean is affected by the outliers and the skewness of the distribution, making it an unreliable measure of central tendency. The median, on the other hand, is not influenced by extreme values and is a better representation of the center of the distribution.

When a Distribution Is Skewed,the Median Is a Better Measure