Kurtosis

Kurtosis tells you how the tails of a distribution behave — whether extreme values are more or less likely than in a normal distribution. While skewness measures asymmetry, kurtosis focuses on the "peakedness" and the weight of the tails. A high kurtosis means more data lies in the tails (outliers are more frequent), while a low kurtosis means the tails are thinner and the distribution is flatter. Understanding …