Introduction: Discrete Probability Distributions

Welcome to the session on ‘Discrete Probability Distributions’. In the last session, you learnt some basic concepts of probability such as random variables, probability distributions, and expected value. Let’s now learn some slightly more advanced concepts.

In this session

You will learn about some probability distributions that are commonly used for discrete random variables, such as binomial probability distribution and uniform probability distribution. In addition, you will learn the concept of cumulative probability, which will be useful in our next session on continuous probability distributions.

Prerequisites

It has been assumed in this session that you have the knowledge of some basic rules of probability, i.e., multiplication rule and addition rule. Also, it is assumed that you have read upon combinatorics and know what the expression ${}^n{C}_r$ represents.

If you need to brush up these concepts, you can go through the reading links given in the resources section. Make sure you go through these concepts if you don’t remember them, otherwise you will find the session difficult to follow.

Reference Ebook

Statistical Inference for Data Science by Brian Caffo.