https://github.com/yrohitha/ab-testing-website
https://github.com/yrohitha/ab-testing-website
Last synced: over 1 year ago
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- Host: GitHub
- URL: https://github.com/yrohitha/ab-testing-website
- Owner: YRohitha
- Created: 2022-09-13T03:31:59.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2022-09-13T03:44:17.000Z (almost 4 years ago)
- Last Synced: 2023-09-10T12:21:08.880Z (almost 3 years ago)
- Size: 5.83 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## AB-Testing-Website
#### Description: Analyzing results of an A/B test run by an e-commerce website.
### Goal
**To share insights about if the UI team should implement this new page, keep the old page, or perhaps run the experiment longer to make their decision.**
### Install Setup
This project requires **Python 2.7** and the following Python libraries installed:
- [numpy](http://www.numpy.org/)
- [pandas](http://pandas.pydata.org)
- [matplotlib](http://matplotlib.org/)
- [random](https://docs.python.org/3/library/random.html)
- [scipy.stats](https://docs.scipy.org/doc/scipy/reference/stats.html)
- [statmodels.api](https://www.statsmodels.org/dev/api.html)
You will also need to have software installed to run and execute a [Jupyter Notebook](http://ipython.org/notebook.html)
If you do not have Python installed yet, it is highly recommended that you install the [Anaconda](http://continuum.io/downloads) distribution of Python, which already has the above packages and more included. Make sure that you select the Python 2.7 installer and not the Python 3.x installer.
### Statistical analysis
* [Bootstrapping sampling distributions](https://towardsdatascience.com/an-introduction-to-the-bootstrap-method-58bcb51b4d60) and p-value calculations
* Z-core test
* Logistic regression
* Multiple linear regression
### Key findings
* The conversion rate for the new page is not better than for the old page
* The country parameter of the user did not impact the conversion rate