# Bimodal Gaussian Distribution

**URL:** <https://discourse.julialang.org/t/bimodal-gaussian-distribution/37274>\
**Category:** Statistics\
**Tags:** question\
**Created:** [April 9, 2020, 11:36am UTC](https://discourse.julialang.org/t/bimodal-gaussian-distribution/37274 "2020-04-09T11:36:07Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![ennvvy](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/ennvvy/32/7816_2.png) [@ennvvy](https://discourse.julialang.org/u/ennvvy)\
**Post date:** [April 9, 2020, 11:36am UTC](https://discourse.julialang.org/t/bimodal-gaussian-distribution/37274/1 "2020-04-09T11:36:07Z")

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I am trying to generate random numbers using a Gaussian distribution with two means. I looked up the `Distributions` and `StatsBase` packages, but could not find functions in them to generate such a function. Can someone suggest a way-out?

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**Author:** ![ssfrr](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/ssfrr/32/3736_2.png) [@ssfrr](https://discourse.julialang.org/u/ssfrr)\
**Post date:** [April 9, 2020, 12:46pm UTC](https://discourse.julialang.org/t/bimodal-gaussian-distribution/37274/2 "2020-04-09T12:46:46Z")

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I think what you’re looking for is a mixture model - the distribution is actually two gaussians. There are details [here](https://juliastats.org/Distributions.jl/stable/mixture/).