https://github.com/codeslash21/analyze-a-b-test-results

Analyze results of an A/B test run by an e-commerce website.
https://github.com/codeslash21/analyze-a-b-test-results

ab-test data-analysis

Last synced: 5 months ago
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Analyze results of an A/B test run by an e-commerce website.

• Host: GitHub
• URL: https://github.com/codeslash21/analyze-a-b-test-results
• Owner: codeslash21
• License: mit
• Created: 2020-05-28T11:16:04.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-05-28T11:29:36.000Z (about 6 years ago)
• Last Synced: 2025-04-10T00:46:12.547Z (about 1 year ago)
• Topics: ab-test, data-analysis
• Language: HTML
• Homepage:
• Size: 4.96 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Analyze-A-B-Test-Results

## Introduction:

For this project, we will work to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product. Our goal to help the company understand if they should implement this new page, keep the old page, or perhaps run the experiment longer to make their decision.

## Software:

One can do this project in Jupyter Notebook.

For doing this project one has to install the following packages -

- Pandas

- Numpy

- Matplotlib

- Statsmodels

## Project Steps:

### Data Wrangling:

- remove duplicates or records with missing or mismatched values

- handle the rows where the landing_page and group columns don't align

### Data Analytics:

- Compute probabilities of converting:

  - regardless of page.

  - Given that an individual received the treatment

  - Given that an individual received the control page

- Perform Hypothesis Testing and calculate p-values

- Conduct Logistic Regression