https://github.com/al-ghaly/e-commerce-a-b-testing
A Statistical Analysis project in which I Performed an A/B test to analyze the effect of changing the user interface for an E-Commerce company's Website.
https://github.com/al-ghaly/e-commerce-a-b-testing
data-analysis matplotlib numpy pandas python python-data-analysis seaborn statistical-analysis statistics
Last synced: 3 months ago
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A Statistical Analysis project in which I Performed an A/B test to analyze the effect of changing the user interface for an E-Commerce company's Website.
- Host: GitHub
- URL: https://github.com/al-ghaly/e-commerce-a-b-testing
- Owner: al-ghaly
- License: mit
- Created: 2023-05-28T13:24:39.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-06-10T09:39:28.000Z (over 2 years ago)
- Last Synced: 2025-03-15T17:12:32.565Z (9 months ago)
- Topics: data-analysis, matplotlib, numpy, pandas, python, python-data-analysis, seaborn, statistical-analysis, statistics
- Language: Jupyter Notebook
- Homepage:
- Size: 5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# E-commerce A/B Testing
## A Statistical Analysis project in which I Performed an A/B test to analyze the effect of changing the user interface for an E-Commerce company's website.
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#### The aim of the project is to Analyze the results of the test to improve company’s overall performance and achieve better customer satisfaction.
## Projects' Conclusions
### From statistics gathered we have no statistical significance to change for the new page as all the test seem to be more baised towards the old page.
But from particular reasoning I think the time for the test 24 days is not enough time.