statsmodels.jarque_bera() in Python (original) (raw)

Last Updated : 26 Mar, 2020

With the help of **statsmodels.jarque_bera()** method, we can get the jarque bera test for normality and it's a test based on skewness, and the kurtosis, and has an asymptotic distribution.

Syntax : statsmodels.jarque_bera(residual, axis) Return : Return the jarque bera test statistics, pvalue, skewness, and the kurtosis.

**Example #1 :**In this example we can see that by using statsmodels.jarque_bera() method, we are able to get the jarque bera test statistics, pvalue, skewness and kurtosis by using this method.

Python3 1=1 `

import numpy and statsmodels

import numpy as np from statsmodels.stats.stattools import jarque_bera

g = np.array([1, 2, 3])

Using statsmodels.jarque_bera() method

gfg = jarque_bera(g)

print(gfg)

Output :

(0.28125, 0.8688150562628432, 0.0, 1.5)

Example #2 :