Welcome to the session on ‘Continuous Probability Distributions’. In the last session, you learnt about binomial distribution, uniform distribution and cumulative probability.

In this session

You will learn about cumulative probability in detail. You will see how the probability of a continuous variable is expressed and how it is different from the way the probability of a discrete variable is expressed. You will then learn about normal distribution, which is a commonly used probability distribution among continuous random variables.

Prerequisites

There are no prerequisites for this session, other than, of course, knowledge of what was discussed in the previous two sessions.

Reference Ebook

Statistical Inference for Data Science by Brian Caffo.