What is kurtosis?
This is the fourth central point divided by the square of the variance. This is a measure of “closeness”, that is, a descriptor of the form of the probability distribution of a real random variable. Simply put, it can be said to be a measure of how a heavy tail compares to a normal distribution.
Its formula is —
array: Input array or object having the elements.
axis: Axis along which the kurtosistest is to be computed. By default axis = 0.
Returns: Z-score (Statistics value) and P-value for the normally distributed data set.
Code # 1:
Output: strong >