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)
