📊 E-News Landing Page A/B Testing – Business Statistics Project
This project analyzes the effectiveness of a new landing page design for a fictional newsletter service (E-News Express) using A/B testing and statistical inference.
🧪 Objective
To determine whether the new landing page leads to a statistically significant increase in newsletter subscriptions compared to the old version.
- Python (Pandas, Matplotlib, Scipy)
- Jupyter Notebook / HTML Export
- Statistical Testing: Z-test, Hypothesis Testing, Confidence Intervals
📈 Key Analysis
- Performed data cleaning and summary statistics
- Conducted a two-proportion z-test on control vs. treatment groups
- Computed confidence intervals to assess effect size
- Visualized key metrics for interpretability
🧠 Results
- P-value = 0.19 → No statistically significant difference observed between the old and new landing page designs.
📂 Files
JA_BS_ENews_Express_Project_Full_Code.ipynb: Full notebook with code and outputsJA_BS_ENews_Express_Project_Full_Code.html: HTML version of notebook for easy viewing
🔗 View Notebook
Click to View HTML Version