# Tag: Clearly Explained

## Illustrating that the sample variance bias decreases with the sample size using R and Mathematica

In my previous blog, I recall that we can demonstrate in a few steps that the sample variance is an unbiased estimator of the population variance when we…

## Illustrating the sample variance bias with R and Mathematica

In my previous blog, I recall that we can demonstrate in a few steps that the sample variance is an unbiased estimator of the population variance when we…

## A Simple Proof for the Chebyshev Inequality: Clearly Explained!

In the Appendix A of this book: Statistics: Principles and Methods written by Giuseppe Cicchitelli, Pierpaolo D’Urso and Marco Minozzo published by Pearson in 2021, I found the…

## Skewness in Wolfram Alpha: Clearly Explained!

The positional average known as the skewness allows you to assess the symmetry of a distribution. When the skewness is to zero, then the distribution is symmetric. You…

## Why is Big-O of any constant always equal to O(1)? Clearly explained!

The Big-O notation may seem quite obscure when you see it for the first time. A good way to intuitively understand this notation is to consider the case…

## L’inférence statistique : clairement expliquée

Dans cette vidéo à but pédagogique, je tente d’expliquer de manière intuitive le concept d’inférence statistique. Il s’agit d’un concept très intuitif que l’on peut appréhender sans formule…