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Mean and Variance of Discrete Uniform Distributions

Posted on May 3, 2021 Written by The Cthaeh 1 Comment

A crowd of white Lego figures

In today’s (relatively) short post, I want to show you the formal proofs for the mean and variance of discrete uniform distributions. I already talked about this distribution in my introductory post for the series on discrete probability distributions. Well, this is a pretty simple type of distribution that doesn’t really need its own post, so I decided to make a post that specifically focuses on these proofs. More than anything, this is going to be a small exercise in algebra.

This post is part of my series on discrete probability distributions.

[Read more…]

Filed Under: Algebra, Probability Distributions Tagged With: Discrete uniform distribution, Expected value, Mean, Variance

Alternative Variance Formulas and Their Derivation

Posted on November 15, 2020 Written by The Cthaeh 2 Comments

The equations of three alternative variance formulas

In today’s post I want to show you two alternative variance formulas to the main formula you’re used to seeing (both on this website and in other introductory texts).

Not only do these alternative formulas come in handy for the derivation of certain proofs and identities involving variance, they also further enrich our intuitive understanding of variance as a measure of dispersion for a finite population or a probability distribution.

[Read more…]

Filed Under: Algebra, Measures, Probability Distributions Tagged With: Arithmetic, Expected value, Mean, Variance

The Birthday Problem: Python Simulation

Posted on August 17, 2020 Written by The Cthaeh 6 Comments

UEFA Nations League semi-final between Netherlands and England (prematch, 06/06/2019), with Python code related to the birthday problem in the background

In my last post, I introduced you to the so-called birthday problem. Namely, the probability of having at least one birthday coincidence in a random group of people. I showed you how to approach the question analytically by deriving a simple formula for calculating this probability.

In this post, I want to show you an alternative way of getting the same probability using a computer simulation with the programming language Python!

This post is part of my series Probability Questions from the Real World.

[Read more…]

Filed Under: Applications, Probability Theory & Statistics Tagged With: Discrete uniform distribution, Law of large numbers, Python

The Birthday Problem: Analytic Solution

Posted on August 11, 2020 Written by The Cthaeh 2 Comments

UEFA Nations League semi-final between Netherlands and England (prematch, 06/06/2019), with the birthday problem formula in the background

Welcome to the first post from my new series. Here we’re going look at a famous probability question often called the birthday problem. This is actually a more general question related to the probability of at least one coincidence after a fixed number of draws from a discrete uniform distribution.

This post is part of my series Probability Questions from the Real World.

[Read more…]

Filed Under: Applications, Combinatorics, Probability Theory & Statistics Tagged With: Discrete uniform distribution, Expected value, Permutation, Sample space

Probability Questions from the Real World (With Simulations)

Posted on August 2, 2020 Written by The Cthaeh Leave a Comment

A cartoon comically illustrating probability questions, taken from Henk Tijms' book "Understanding Probability: Chance Rules in Everyday Life"

Welcome to my introductory post to a large series that I’m starting today. The main purpose of this post is to get you in the mood for the posts to follow. Namely, exploring and solving interesting probability questions from the real world.

[Read more…]

Filed Under: Applications, Probability Theory & Statistics Tagged With: Python

Binomial Distribution Mean and Variance Formulas (Proof)

Posted on May 19, 2020 Written by The Cthaeh 31 Comments

A skyscraper resembling a binomial distribution

This is a bonus post for my main post on the binomial distribution. Here I want to give a formal proof for the binomial distribution mean and variance formulas I previously showed you.

This post is part of my series on discrete probability distributions.

[Read more…]

Filed Under: Algebra, Probability Distributions Tagged With: Expected value, Mean, Probability mass, Variance

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  • Numeral Systems: Everything You Need to Know
  • Introduction to Number Theory: The Basic Concepts
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  • Mean and Variance of Discrete Uniform Distributions
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