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 as np
from statsmodels.stats.stattools import omni_normtest
g = np.array([ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ])
gfg = omni_normtest(g)
print (gfg)
|
Output :
NormaltestResult(statistic=1.7004056883060088, pvalue=0.42732824212143383)
Example #2 :
import numpy as np
from statsmodels.stats.stattools import omni_normtest
g = np.array([ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ])
gfg = omni_normtest(g)
print (gfg)
|
Output :
NormaltestResult(statistic=2.02697581498966, pvalue=0.362950830342156)
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