A/B Test Calcualtor
Switch branches/tags
Nothing to show
Clone or download
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
js Remove variation names from tab sequence Feb 25, 2015
stylesheets
test Update unit test Feb 23, 2015
.editorconfig
.gitattributes Add a .gitattributes file to ensure consistent line endings Feb 1, 2015
.gitignore Gulp: Compiled bundle in /build to simplify watch paths Jan 24, 2015
.jshintrc
CNAME Remove assets directory to simplify file structure Feb 14, 2015
LICENSE.md Add license file Jan 28, 2015
README.md
favicon.ico Remove assets directory to simplify file structure Feb 14, 2015
gulpfile.js Update test task to work with ES6 classes Feb 23, 2015
index.html Update chartset to use new HTML5 attribute Feb 10, 2015
package.json Update test task to work with ES6 classes Feb 23, 2015

README.md

A/B Test Calculator

This repository hosts the source code for ABTestCalculator.com, a visual A/B test significance calculator.

Development

First, clone this repository and ensure you have npm installed.

Next, install the project's dependencies by running npm install.

Finally, simply run gulp from the command line and then open build/index.html in your browser.

Because this uses ECMAScript 2015, you'll need to ensure you run gulp with the --harmony flag. You can do this with the following alias:

alias gulp='node --harmony `which gulp`'

The Math

For an explanation of the math behind A/B testing significance calculations, checkout this excellent series by Aaron O'Connell:

This tool uses the Wald method to estimate the distribution of the sample proportions and tests are considered significant at the p = 0.10 confidence level.

Contact

If you have any suggestions, find a bug, or just want to say hey drop me a note at @mhmazur on Twitter or by email at matthew.h.mazur@gmail.com.

License

MIT © Matt Mazur