This tutorial is designed to help you learn about
the central limit theorem and its importance
for testing hypotheses. The tutorial begins with the definition
of the central limit theorem. It is followed
by demonstrations of three important properties
of the central limit theorem that are important
for you to understand. We recommend that you begin with random
sampling as it is important to understand this before you proceed
to learning about increasing sample size and
different populations. The tutorial ends with a summary
of all of the all of the properties and their importance for hypothesis testing.Once
you understand the properties of the central limit theorem,
you should test your knowledge by doing the practice
exercises.

Students enrolled in PSYC230
- Elementary Statistics - who wish to receive extra credit for doing
the tutorial should take the quiz posted on the Blackboard at Emory class
site.