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Understanding Skewness and Kurtosis by Kea is a document available to read on EtoBox.

Measures of shape, including skewness and kurtosis, describe the characteristics of data distributions. Skewness indicates the asymmetry of a distribution, with left (negative) and right (positive) skewness affecting the relationship between the mean, median, and mode. Kurtosis measures the peakedness of a distribution, categorizing it as leptokurtic (high and thin), platykurtic (flat and spread out), or mesokurtic (normal shape).

Author

Kea

Language

EN