Skewness is a measure of the asymmetry in a given distribution. It helps us understand the shape and characteristics of a dataset, which can be valuable for making informed decisions and drawing meaningful insights. Positive skewness indicates that the tail of the distribution is skewed to the right, with a longer right tail and a cluster of data points on the left. By contrast, negative skewness suggests that the tail of the distribution is skewed to the left.

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You can also download other open-access resources, such as Kurtosis, Measures of Central Tendency, and Standard Normal Distribution.