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Cumulative distribution function (CDF)

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. A CDF describes the probability that a random variable will take a value less than or equal to a specific point.

Technical Definition

A CDF describes the probability that a random variable will take a value less than or equal to a specific point.

How it works

The Cumulative Distribution Function (CDF) is a fundamental concept in probability and statistics. For a given random variable, the CDF at a value 'x' provides the probability that the variable's value will be less than or equal to 'x'. It's useful for understanding the distribution and range of data.

Related Concepts

  • Data analysis — Data analysis involves examining, cleaning, transforming, and visualizing data to discover useful information and patterns.

Further Reading

  • Google ML Glossary