Contents
- Index
Excess Kurtosis
The excess kurtosis = kurtosis - 3. This results in the normal distribution having an excess kurtosis of zero. An excess kurtosis above 0 indicates the tails are heavier than the normal distribution. An excess kurtosis below 0 indicates the tails are lighter than the normal distribution. An excess kurtosis value of 1 and above or -1 and below represents a sizable departure from normality. The formula used for estimating the excess kurtosis from a set of data is:
where n is the sample size, 
represents the data points, 
is the average and S is the standard deviation.