Statistics Concepts

Central Limit Theorem We will make some observations and do some experiments first. At the end we can summarize the understanding and it will become a definition/explanation.Let us say we have a dice and the sample space ( or a set of all the possibilities) for a roll is {1, 2, 3, 4, 5, 6}.Let us pick a random number from this set, or if you have a dice, roll it. Let us say I rolled it and got a number say 6. Let us roll it a 100 times. Since it is difficult to roll it that many times, we will use computer to do it.

Statistical Distribution Functions This post is mainly about observing the theoretical distributions with variation of the terms that make the equations. There will be a lot of animations which will hopefully help improve your understanding of these concepts.
1.Normal Distribution
2.Exponential Distribution
3.Gamma Distribution
4.Weibull Distribution

Pearson Correalation In this page we will look at concepts about Pearson Correlation. Pearson correlation a way to estimate the strength of the Linear correlation between two variables of which one is dependent and the other is independent. Let us start by looking at a scatter plot.

One Way Analysis of Variances (ANOVA) – A visual guide In this post, we will learn about the ANOVA and also visualize the data alongside. We will be mostly learning it in Mathematica. Like always, I will try to present with many visual elements.

MRG32k3a This is a random number generator developed by Pierre L’Ecuyer.  The link to the original text can be found here http://simul.iro.umontreal.ca/rng/MRG32k3a.c . I have coded two different versions of MRG32k3a.