Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 

Visualising the Central Limit Theorem. ver 1.1 (2014) Maciej Workiewicz (Mac13kW)

Summary

If you ever wondered how does the CLT really work, but didn't find the mathematical proof enough, then you can try this Python script and see for yourself how does the distribution of the sample of means change in response to the change in the size of each sample. You can also vary the number of the samples.

Installation

This script has been tested with Python 2.7 (Anaconda Pyton Distribution)

Required modules include:

  • numpy
  • random
  • matplotlib.pyplot
  • scipy.stats

You can find more instructions on how to alter the code in the file itself.

About

A tool for visualizing the Central Limit Theorem

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages