College Statistics with Python

Introduction

In a series of weekly articles, I will cover some important statistics topics with a twist.

The goal is to use Python to help us get intuition on complex concepts, empirically test theoretical proofs, or build algorithms from scratch. In this series, you will find articles covering topics such as random variables, sampling distributions, confidence intervals, significance tests, and more.

At the end of each article, you can find exercises to test your knowledge. The solutions will be shared in the article of the following week.

Articles published so far:

• Bernoulli and Binomial Random Variables with Python
• From Binomial to Geometric and Poisson Random Variables with Python
• Sampling Distribution with Python
• Confidence Intervals with Python

As usual, the code is available on my GitHub.

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