Define Kurtosis Statistics. Jan 14 2019 How to Classify the Kurtosis of Distributions Mesokurtic. The peak is the tallest part of the distribution and the tails are the ends of the distribution.
That is data sets with high kurtosis tend to have heavy tails or outliers. It is used to describe the extreme values in one versus the other tail. Data sets with low kurtosis tend to have light tails or lack of outliers.
Any standardized values that are less than 1 ie data within one standard deviation of the mean where the peak would be contribute virtually nothing to kurtosis since raising a number that is less than 1 to the fourth power makes it closer to zero.
The peakedness or flatness of the graph of a frequency distribution especially with respect to the concentration of values near the mean as compared with the normal distribution First Known Use of kurtosis 1905 in the meaning defined above. There are three. Kurtosis is a measure of whether the data are heavy-tailed or light-tailed relative to a normal distribution. Definition Kurtosis The deviation of the course of a distribution from the course of a normal distribution is called kurtosis curvature.
