Negatively skewed refers to a distribution where the tail on the left side is longer or fatter than the right side. In such distributions, most of the data points cluster toward the higher end of the scale, creating a scenario where the mean is typically less than the median, which can significantly affect the interpretation of data in various contexts.
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