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)
