scipy.stats.shapiro

scipy.stats.shapiro(x, a=None, reta=0)

Shapiro and Wilk test for normality.

Given random variates x, compute the W statistic and its p-value for a normality test.

If p-value is high, one cannot reject the null hypothesis of normality with this test. P-value is probability that the W statistic is as low as it is if the samples are actually from a normal distribution.

Output: W statistic and its p-value

if reta is nonzero then also return the computed “a” values

as the third output. If these are known for a given size they can be given as input instead of computed internally.