Definition: Skewness measures how much one variable varies from another, with positive skew indicating a more right-skewed distribution than symmetric distribution, whereas negative skew indicates a left-skewed distribution. This measure helps in understanding whether data is skewed or not. For instance, when data points are distributed on both ends of the scale (for example, positive and negative skew), it's said that the data set has been skewed to the right.
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