Message-ID: <BAY103-F3507B8F989D476F9016FA7A62C0@phx.gbl>
Date: 2005-04-21T17:34:28Z
From: Francisco J. Zagmutt
Subject: Using R to illustrate the Central Limit Theorem
In-Reply-To: <6ade6f6c050421100678ff5a24@mail.gmail.com>
Hi Paul
This is one of many ways to do it
hist(runif(30))#histogram from 30 random samples from a uniform(0,1)
mm=c(NULL)#creates null vector
for(i in 1:100){mm[i]=mean(runif(30))}#100 sample means of 30 samples each
from a uniform(0,1)
hist(mm)#the distribution of the sample mean looks normal!
You can even nest this loop within another loop so your student can see
several histograms showing a "normal" behaviour.
I hope this helps
Francisco
>From: Paul Smith <phhs80 at gmail.com>
>To: r-help at stat.math.ethz.ch
>Subject: [R] Using R to illustrate the Central Limit Theorem
>Date: Thu, 21 Apr 2005 18:06:40 +0100
>
>Dear All
>
>I am totally new to R and I would like to know whether R is able and
>appropriate to illustrate to my students the Central Limit Theorem,
>using for instance 100 independent variables with uniform distribution
>and showing that their sum is a variable with an approximated normal
>distribution.
>
>Thanks in advance,
>
>Paul
>
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