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. Skewness measures the asymmetry of a data distribution around its mean, whereas Kurtosis measures the " tailedness" or the sharpness of the peak of a data distribution .

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