From f92ea90944e7fa39baf3e369b81103a461838546 Mon Sep 17 00:00:00 2001 From: Roger Labbe Date: Tue, 19 May 2015 16:53:05 -0700 Subject: [PATCH] Added explanation for is distributed by symbol. --- 04_Gaussians.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/04_Gaussians.ipynb b/04_Gaussians.ipynb index 3260448..1c17cf1 100644 --- a/04_Gaussians.ipynb +++ b/04_Gaussians.ipynb @@ -967,9 +967,9 @@ "\n", "> *Important*: I will repeat what I wrote at the top of this section: \"A Gaussian...is completely described with two parameters\"\n", "\n", - "The standard notation for a normal distribution for a random variable $X$ is $X \\sim\\ \\mathcal{N}(\\mu,\\sigma^2)$. This means I can express the temperature reading of our thermometer as\n", + "The standard notation for a normal distribution for a random variable $X$ is $X \\sim\\ \\mathcal{N}(\\mu,\\sigma^2)$ where $\\sim$ means *distributed according to*. This means I can express the temperature reading of our thermometer as\n", "\n", - "$$temp = \\mathcal{N}(22,4)$$\n", + "$$temp \\sim \\mathcal{N}(22,4)$$\n", "\n", "This is an **extremely important** result. Gaussians allow me to capture an infinite number of possible values with only two numbers! With the values $\\mu=22$ and $\\sigma^2=4$ I can compute the distribution of measurements for over any range." ]