Machine learning and statistics with python

Introduction We will talk about shapiro-wilk, kruskal-wallis, Mann-whitney, wilcoxon rank test and some other tests in this and other continuing posts.These tests are crucial in establishing different assumptions about samples, tests and modelings. Let's start this series with this post describing shapiro wilk test. Shapiro wilk test: The first brick in buildings of statistics is samples and assumptions about them. When basic statistics courses are taught, we assume normality in a majority of things and later on going into details we drop this assumption from time to time and then we face number of difficulties. Now, this test in hand,   shapiro wilk test is to test the sample for normality . Basically the test was developed by S.S.Shapiro and M.B. Wilk in a 1965 paper published in biometrica.  Here is a link for the paper,(it may not open if you or your institute does not have a j-stor subscription). Description of the test: The test runs by producing a test...