1 -Introduction to hypothesis testing

Hypothesis tests make it possible to compare one or more samples, and to validate or invalidate a hypothesis. Introduction Hypothesis tests compare groups of data to see if they are similar or not. They can also test a group of data with an expected target and see if...

2 – The fit test

Adjustment tests identify the law our data follows. Introduction Adjustment tests are statistical tests to determine that it is the most appropriate law for data. This allows us subsequently to : Predetermine the behavior of the studied system. Choose the best test to...

3 – Homoscedaticity tests

Used to test the differences in the variances between samples, they allow in particular to ensure the conditions of use of the hypothesis tests.. Introduction In most cases, Variance tests are used to determine if the Variances between groups are homogeneous and thus...

Fisher Snedecor Test

The Fisher-Snedecor test makes it possible to compare the variance of 2 samples. Introduction Created in 1920 by the work of Ronald Aylmer Fisher (British biologist and mathematician) and based on the distribution table of George Waddel Snedecor (American...

one-way ANOVA

The analysis of the variance allows to study the average of K samples. Introduction ANOVA (Analysis of the Variance) allows to analyze the differences between several samples whose response is quantitative (a speed, a pressure…). There are so many applications....

McNemar Test

The McNemar test allows to compare 2 populations that can only take 0 or 1:0 values being the non presence of a character, with 1 being the presence of a character. Introduction It was Dr. Quinn McNemar who created this test in 1947. At the time, he developed it in...