• KS table

• https://qualitypursuit.wordpress.com/138-2/
• http://blog.minitab.com/blog/adventures-in-statistics-2/how-to-correctly-interpret-p-values

import numpy as np
from scipy import stats
 
x1 = np.random.normal(0, 1, 100)
x2 = np.random.normal(0, 1, 100)
pvalue = stats.ttest_rel(scores[:, 0], scores[:, 1]).pvalue
# pvalue -> 0.719082
 
x1 = np.random.normal(0, 1, 100)
x2 = np.random.normal(0.5, 1, 100)
pvalue = stats.ttest_rel(scores[:, 0], scores[:, 1]).pvalue
# pvalue -> 0.000060