# The Bivariate Normal and Conditional Distributions

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If is a normal random variable and the conditional distribution of given is (1) normal, (2) has a mean that is a linear function of , and (3) has a variance that is constant (does not depend on ), then the pair follows a bivariate normal distribution. The left image is a graph of the bivariate density function and the right image shows the conditional distribution of when takes the value of the slider.

Contributed by: Chris Boucher (March 2011)

Open content licensed under CC BY-NC-SA

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detailSectionParagraph## Permanent Citation

"The Bivariate Normal and Conditional Distributions"

http://demonstrations.wolfram.com/TheBivariateNormalAndConditionalDistributions/

Wolfram Demonstrations Project

Published: March 7 2011