# Covariance

This English edition is an AI candidate and does not yet have an OCME Atlas (GPT-6) Twin closure receipt.

[Catalogue presentation and source-binding data](https://ocme.evemisslab.com/data/i18n/catalogue.en.json)



## [Covariance](https://ocme.evemisslab.com/en/atlas/atlas-covariance/)

Under one finite joint distribution, covariance is E[XY]−E[X]E[Y]; zero covariance does not in general imply independence.

atlas-covariance · canonical_mko

[Covariance](https://ocme.evemisslab.com/en/mko/mko-covariance/)

## Prerequisite nodes


- [Finite joint distribution](https://ocme.evemisslab.com/en/atlas/atlas-finite-joint-distribution/)
- [Expectation in finite models](https://ocme.evemisslab.com/en/atlas/atlas-expectation/)
- [Variance in finite probability models](https://ocme.evemisslab.com/en/atlas/atlas-variance/)
- [Real random variables on finite sample spaces](https://ocme.evemisslab.com/en/atlas/atlas-random-variable/)