Kurtosis: Skewness and kurtosis are statistical measures

Skewness and kurtosis are statistical measures that describe the shape of a data distribution. While skewness indicates the asymmetry of the distribution, kurtosis measures the heaviness of its tails compared to a normal distribution. 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 statistical measure that defines how heavily the tails of a distribution differ from the tails of a normal distribution. Kurtosis is a statistical measure that describes the shape of a data distribution especially how heavy or light the tails are. It tells us whether a dataset has outliers than a normal distribution or if most data points stay closer to the average.