The analysis phase is purely mathematical. It is during this phase that we set up a set of tools to identify the real cause of the problem. Introduction The analysis phase is purely mathematical. It is during this phase that we set up a set of tools to identify the...
Inferential statistics aim to describe a population from a sample and thus to perform « inference ». Introduction Inferential statistics are used to describe a population from a 1 sample and thus to make “inferences” . There are many...
The p-Value makes it possible to ensure the robustness of the test and the associated results. Introduction The p-Value is a statistical datum introduced by Gibbons and Pratt in 1975. They propose a measure that calculates the smallest value of α to reject of the null...
1 – Regression Studies Regressions allow you to validate a correlation while allowing to identify the equation that connects the data and thus predict behaviors. 2 – Simple linear regressions Simple linear regressions are used to identify a correlation...
1 -Introduction to hypothesis testing Hypothesis tests make it possible to compare one or more samples, and to validate or invalidate a hypothesis. 2 – The fit test Adjustment tests identify the law that our data follows. 3 – Homoscedaticity tests Used to...
The normal law is one of the pillars of statistics. Well known, it is used in all areas of statistics: finance, psychology, anatomy …. It summarizes many statistical distributions observed. Introduction The normal law (from the Latin “norma” meaning...