# scipy stats.skewtest () function | python

Its formula is —

Parameters:
array: Input array or object having the elements.
axis: Axis along which the skewness test is to be computed. By default axis = 0.

Returns: Z-score (Statistics value) and P-value for the hypothesis test on data set.

Code # 1:

 ` # Doing obliquely ` ` from ` ` scipy.stats ` ` import ` ` skewtest ` ` import ` ` numpy as np ` ` import ` ` pylab as p `   ` x1 ` ` = ` ` np.linspace (` ` - ` ` 5 ` `, ` ` 5 ` `, ` ` 1000 ` `) < / code> `` y1 = 1. / (sqrt-in-python/">np. sqrt ( 2. * np.pi)) * np.exp ( - . 5 * (x1) * * 2  )   p.plot (x1, y1, ’*’ )     print ( ’ Skewness test for given data: ’ , skewtest (y1)) `

Output:

`     Skewness test for given data: SkewtestResult (statistic = 11.874007880556805, pvalue = 1.6153913086650964e-32) `

Code # 2:

` `

` # Doing obliquely from scipy.stats import skewtest import numpy as np  import pylab as p    x1 = np.linspace ( - 5 , 12 , 1000 ) y1 = 1. / (sqrt-in-python/">np. sqrt ( 2. * np.pi)) * np.exp ( - . 5 * (x1) * * 2  )   p.plot (x1, y1, ’.’ )     print ( ’Skewness for data:’ , skewtest (y1)) `

Exit:

`     Skewness for data: SkewtestResult (statistic = 16.957642860709516, pvalue = 1.689888374767126e-64) `

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