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Kurtosis Meaning In Statistics

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Kurtosis Meaning In Statistics. This article has been revised to correct that misconception. Kurtosis is a statistical measure that defines how heavily the tails of a distribution differ from the tails of a normal distribution.

Does This Kurtosis Make My Tail Look Fat The Do Loop
Does This Kurtosis Make My Tail Look Fat The Do Loop from blogs.sas.com

Definition of kurtosis in statistics kurtosis is defined as the parameter of relative sharpness of the peak of the probability distribution curve. It is difficult to discern different types of kurtosis from the density plots left panel because the tails are close to zero for all distributions. High kurtosis in a data set is an indicator that data has heavy tails or outliers.

This article has been revised to correct that misconception.

This is technically not correct see below. It tells us the extent to which the distribution is more or less outlier prone heavier or light tailed than the normal distribution. Kurtosis is a measure of whether the data are heavy tailed or light tailed relative to a normal distribution. The degree of tailedness of a distribution is measured by kurtosis.

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