scipy.stats.kurtosistest(array, axis=0) function test whether the given data set has normal kurtosis (Fisher or Pearson) or not.
What is Kurtosis ?
It is the fourth central moment divided by the square of the variance. It is a measure of the “tailedness” i.e. descriptor of shape of probability distribution of a real-valued random variable. In simple terms, one can say it is a measure of how heavy tail is compared to a normal distribution.
Its formula –
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.
Kurtosis for normal distribution : KurtosistestResult(statistic=-2.2557936070461615, pvalue=0.024083559905734513)
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