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Published Apr 29, 2024Definition of Kurtosis Kurtosis is a statistical measure that describes the shape of a distribution’s tails in relation to its overall shape. Specifically, it measures the “tailedness” of the probability distribution of a real-valued random variable. In simpler terms, kurtosis tells us how heavy or light the […] Kurtosis refers to the “ tailedness ” or the degree of extremity in the tails of a distribution. It provides a measure of how outliers or extreme values appear in your dataset. While variance and standard deviation tell you how spread out the data is, kurtosis tells you how concentrated or dispersed data is in the tails (extreme ends). 1. Kurtosis refers to the degree of presence of outliers (extreme values) in the distribution. Kurtosis is a statistical measure, whether the data is heavy-tailed or light-tailed in a normal distribution. Kurtosis is a measure of the tailedness (how often outliers occur) of a distribution.
