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. Python3 1=1 
# 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 : Python3 1=1 
# 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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