The test is used to compare sample average with paired data. Introduction Pairing allows the risk of misinterpretation to be ruled out in cases where data have common relationships that may affect the results of the tests. In this specific case, the student test...
The student test allows to identify differences on average or proportional parameters. Introduction The student test is probably the most popular test. It was published for the first time in the Biometrika magazine by William Sealy Gosset in 1908. While employed at...
The χ2 test tests the adequacy of a data distribution with expected law or other data distributions. Introduction The χ2 test is one of the oldest statistical tests. Developed in 1900 by Karl Pearson1, he relied on the work of his mentor (Francis Galtn, cousin of...
Cochran’s Q is a generalization of the McNemar test and allows to process more than 2 sets of matched data. Introduction William Gemmel Cochran (born 1909) is a Scottish statistician. It was by working on the yield of farmland that he developed the test of the Q...
The normal probability Plot is probably the simplest test of normality. Everyone will be able to use it to determine the “normality” of its data. Introduction The normal probability Plot is a graphical analysis to see if a data set is distributed in a...
The Wilcoxon – Mann Whitney test allows you to compare performance levels. Introduction The Wilcoxon-Mann Whitney test is arguably the best known non-parametric test. In the end, these are 2 tests but are inferred from each other. That’s why we’re still...