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Probability Distributions - An Introduction

Explore the concept of probability distributions and how they represent the probabilities of all possible outcomes for random variables. Understand the difference between discrete and continuous data, and discover how probability mass and density functions help analyze data trends. This lesson prepares you to work with key probability distributions and apply them in data science.

Introduction

We have learned that probability gives us the percent chance of an event occurring. Now, what if we want an understanding of the probabilities of all the possible values in our experiment? This is where probability distributions come into play.

A probability distribution is a function that represents the probabilities of all possible values. This is a very important concept in data science, by specifying the relative chance of all possible outcomes. Probability distributions allow us to understand the underlying trends in our data. For example, if we have some missing values in our dataset, we can ...