Input Assumptions are – “Observations in each sample are independent and identically distributed”. But in order to perform these tests on some data sets some input assumptions have to be satisfied. For doing all these of these Scipy have specific functions. Mathematically there are three Normality Tests – Shapiro-Wilk Test, D’Agostino’s K^2 Test, Anderson-Darling Test. 2 – Explain Normality Tests in Scipy?įirstly let’s see what are Normality Tests? Normality tests are the ones that test for data distribution in the form of Gaussian, kind of checking whether a given DataSet has Gaussian Distribution or not. It is a collection of components and provided an eco system for scientific computing. Scipy is used for scientific computation.
5 – Explain how to do Mann-Whitney U test, a non-parametric Statistical Hypothesis Test in Scipy?