Returns the kurtosis of the distribution of value_expression.
This function returns the REAL data type.
To invoke the time series version of this function, use the GROUP BY TIME clause. For more information, see Teradata Vantage™ - Time Series Tables and Operations, B035-1208.
Kurtosis is the fourth moment of the distribution of the standardized (z) values. It is a measure of the outlier (rare, extreme observation) character of the distribution as compared with the normal, Gaussian distribution.
The normal distribution has a kurtosis of 0.
Positive kurtosis indicates that the distribution is more outlier-prone than the normal distribution, while negative kurtosis indicates that the distribution is less outlier-prone than the normal distribution.
The equation for computing KURTOSIS is defined as follows:
|This variable …||Represents …|