Embedded Files
A/B Testing Analysis
📰Project Business Statistics: Delivery Routing A/B Test:
📰Project Business Statistics: Delivery Routing A/B Test:
This project focused on evaluating the impact of a new landing page design (Group B) on user conversion rates and engagement through a controlled A/B testing experiment. I applied inferential statistics and hypothesis testing to determine if the changes improved performance compared to the existing version (Group A).
    Click to see in GitHub: advanced-projects/ENews_Express_Learner_Notebook_Full_Code.ipynb at main · kbello90/advanced-projectsÂ
     View App A/B Test: ENews A/B Test Dashboard · StreamlitÂ
A/B Testing Analysis
📦 Delivery Routing A/B Testing – Hypothesis Testing & Statistical Analysis
📦 Delivery Routing A/B Testing – Hypothesis Testing & Statistical Analysis
In this project, I conducted a comprehensive statistical analysis to evaluate the effectiveness of a new delivery routing system (Group B) compared to the current one (Group A). Using real-world-inspired data and A/B testing methodology, I applied inferential statistics, ANOVA, and post-hoc Tukey analysis to assess delivery time improvements and the impact of factors such as traffic conditions, distance, and time of day.
    Click to see in GitHub: advanced-projects/Delivery_Routing_A_B_Test.ipynb at main · kbello90/advanced-projectsÂ
     View App A/B Test: ENews A/B Test Dashboard · StreamlitÂ
Page updated
Google Sites
Report abuse