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 distributoins.

#### 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 **nCr** represents.

If you need to brush up these concepts, you can go through the reading links given in the resources section. You can also practice some optional questions given under the Resources section for this module. Make sure you go through these concepts if you don’t remember them, otherwise you will find the session difficult to follow.

#### Guidelines for in-module questions

The in-video and in-content questions for this module are not graded. Note that graded questions are given on a separate page labelled ‘Graded Questions’ at the end of this session. The graded questions in this session will adhere to the following guidelines:

First Attempt Marks | Second Attempt Marks | |

Question with 2 Attempts | 10 | 5 |

Question with 1 Attempt | 10 | 0 |