Importance Of Kurtosis In Statistics. If the kurtosis is greater than 3 then the data set has heavier tails than a normal distribution more in the. Kurtosis is a measure of the combined sizes of the two tails.
Skewness essentially measures the symmetry of the distribution while kurtosis determines the heaviness of the distribution tails. Many books say that. If there is a high kurtosis then we need to investigate why do we have so many outliers.
Kurtosis is a measure of the combined sizes of the two tails.
Kurtosis is typically measured with respect to the normal distribution. Impact of sample size on skewness and kurtosis. Kurtosis is all about the tails of the distribution not the peakedness or flatness. Mathematically kurtosis is a dimensionless statistical metric for quantifying the non gaussianity of an arbitrary probability of distribution.
