# Lab4.3: The Central Limit Theorem

## Introduction:

In this lab you will use computer simulation to demonstrate the Central
Limit Theorem, one of the most important theorems in statistics. As you know
from the text, the Central Limit Theorem states that regardless of the
population we take our data from, the sample mean of a random sample will have
approximately a normal distribution if the number of observations in that
sample is large enough and if the population obeys certain conditions. In the
following you can explore the practical implications of this theorem through
computer simulation.

## Objectives:

To investigate how the Central Limit Theorem works on
simulated data.

## Getting Started:

To navigate through the lab, use the menu bar on the left side of this
window, which will be available to you throughout the lab. The "Glossary"
section will provide you with a brief refresher on the terms and concepts you
need to know for this lab. Click "Applet" to open the applet for this lab.
Once you open the applet, there will be specific step-by-step instructions
found at the bottom of the applet window. When all instructions have been
completed, close the applet window. You may then be instructed to answer the
summary questions. Even if you are not, have a look: they will be a good test
of your understanding.