# Expectation and Variance from High School to Grad School

Many people find the ideas of Expectation and Variance confusing. In part this is because the way we view these concepts changes as our understanding grows in sophistication. In this post we'll look at the way these definitions change from their basic High School intro to the view of Rigorous Probability Theory.

# Working with Probability Distributions

Learn about Discrete and Continuous probability distributions as well as the types of questions that they can both answers. This post also discusses the relationship between the Binomial and Beta distributions.

# Understanding Variance, Covariance, and Correlation

An explanation of Variance, Covariance and Correlation in rigorous yet clear terms providing a more general and intuitive look at these essential concepts.

# Random Variables and Expectation with Robots and Stuff!

In this post we look at Expectation and Variance in simple terms, but through a more sophistcated lens. It turns out that "advanced" definitions of these terms are also easier to understand and work with.