Use Of Kurtosis. Oct 26 2020 can give you a general idea of the shape but two numerical measures of shape give a more precise evaluation. DeCarlo Fordham University For symmetric unimodal distributions positive kurtosis indicates heavy tails and peakedness relative to the normal distribution whereas negative kurtosis indicates light tails and flatness.
Three different types of curves courtesy of Investopedia are shown as follows. Oct 26 2020 can give you a general idea of the shape but two numerical measures of shape give a more precise evaluation. Kurtosis is a statistical measure which quantifies the degree to which a distribution of a random variable is likely to produce extreme values or outliers relative to a normal distribution.
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There are two different common definitions for kurtosis. Kurtosis maps however tend to be noisy. The term Kurtosis refers to the statistical measure that describes the shape of either tail of a distribution ie. A distribution that has tails shaped in roughly the same way as any normal distribution not just the standard normal distribution is said to be mesokurtic.
