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bernoulli's Introduction

About Bernoulli

This is a set of processing scripts investigating Bernoulli random variables.

Details

The Bernoulli(p) distribution is used to model a coin toss or any other single event where there are only two possible outcomes: success/failure, head/tails, true/false, yes/no, and so on. The p represents the probability of success, so for a coin toss, you have Bernoulli(0.5).

In this depiction, each pixel represents the opportunity for success or failure. I represent success by placing a dark pixel.

There are different variations in the code.

Learn More About the Bernoulli distribution

My source

Leemis, Lawrence M. Probability. Williamsburg, VA, USA: , 2011.

Full disclosure, Professor Leemis was my professor when I was a Computational Operations Research MS student at William & Mary, and this book was our course book. It was not officially published at the time.

Other reputable sources

Other interesting, potentially relevant info

Others contributed to my knowledge. I will learn more as I go

I-Ching

John Cage and I-Ching work

####for Supercollider loopier/iching

Mach Bands

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