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# statsmodels.omni_normtest() in Python

• Last Updated : 22 Apr, 2020

With the help of `statsmodels.omni_normtest()` method, we can get the omnibus test for normality and we use chi^2 score for this `statsmodels.omni_normtest()` method.

Syntax : `statsmodels.omni_normtest(array)`
Return : Return the omnibus test for normality.

Example #1 :
In this example we can see that by using `statsmodels.omni_normtest()` method, we are able to calculate the omnibus test for normality by using chi^2 score in this method.

 `# import numpy and statsmodels``import` `numpy as np``from` `statsmodels.stats.stattools ``import` `omni_normtest``  ` `g ``=` `np.array([``1``, ``2``, ``3``, ``4``, ``5``, ``6``, ``7``, ``8``])``# Using statsmodels.omni_normtest() method``gfg ``=` `omni_normtest(g)``  ` `print``(gfg)`

Output :

NormaltestResult(statistic=1.7004056883060088, pvalue=0.42732824212143383)

Example #2 :

 `# import numpy and statsmodels``import` `numpy as np``from` `statsmodels.stats.stattools ``import` `omni_normtest``  ` `g ``=` `np.array([``1``, ``2``, ``3``, ``4``, ``5``, ``6``, ``7``, ``8``, ``9``, ``10``])``# Using statsmodels.omni_normtest() method``gfg ``=` `omni_normtest(g)``  ` `print``(gfg)`

Output :

NormaltestResult(statistic=2.02697581498966, pvalue=0.362950830342156)

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