Seeing Theory

Chapter 1

This chapter is an introduction to the basic concepts of probability theory.

This chapter discusses further concepts that lie at the core of probability theory.

A probability distribution specifies the relative likelihoods of all possible outcomes.

Frequentist inference is the process of determining properties of an underlying distribution via the observation of data.

Bayesian inference techniques specify how one should update one’s beliefs upon observing data.

Regression Analysis is an approach for modeling the linear relationship between two variables.

Seeing Theory was created by Daniel Kunin while an undergraduate at Brown University. The goal of this website is to make statistics more accessible through interactive visualizations (designed using Mike Bostock’s JavaScript library D3.js).

The Team

Awards & Press

We are currently working on a textbook for Seeing Theory. Download a draft of our pdf below. You can provide feedback on our writing here.