Kurtosis Interpretation. Kurtosis is a measure of the combined weight of a distribution s tails relative to the center of the distribution. 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.
When a set of approximately normal data is graphed via a histogram it shows a. This greek word has the meaning arched or bulging making it an apt description of the concept known as kurtosis. Now let s look at the definitions of these numerical measures.
It indicates the extent to which the values of the variable fall above or below the mean and manifests itself as a fat tail.
The kurtosis can also be computed as a4 the average value of z4 where zis the familiarz score z x x σ. Kurtosis is a statistical measure that defines how heavily the tails of a distribution differ from the tails of a normal distribution. How to interpret excess kurtosis and skewness the smartpls data view provides information about the excess kurtosis and skewness of every variable in the dataset. Kurtosis is positive if the.
