What Does Kurtosis Measure. Nov 22 2019 Kurtosis is a measure of how differently shaped are the tails of a distribution as compared to the tails of the normal distribution. Again the excess kurtosis is generally used because the excess kurtosis of a normal distribution is 0.
If a given distribution has a kurtosis less than 3 it is said to be playkurtic which means it tends to produce fewer and less extreme outliers than the normal distribution. Kurtosis is defined as follows. A uniform distribution would be.
Kurtosis is a measure of the tailedness of the probability distribution.
Jan 14 2019 Another feature to consider when talking about a distribution is the shape of the tails of the distribution on the far left and the far right. That is data sets with high kurtosis tend to have heavy tails or outliers. If a given distribution has a kurtosis less than 3 it is said to be playkurtic which means it tends to produce fewer and less extreme outliers than the normal distribution. Jan 14 2019 Another feature to consider when talking about a distribution is the shape of the tails of the distribution on the far left and the far right.
