Mehdi-Rh / Analyse_AB_Test_Results

A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these For this project, you will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

Analyse A/B test results

By Rahal Mehdi Abdelaziz

Datasets

We have two datasets for this project: ab_data and countries ab_data: comports 294478 rows with 5 features ( user_id, timestamp, group, landing_page, and converted) countries: user_id, country

Project Overview

A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these In this notebook, an A/B test is runned by an e-commerce website, the goal is to understand if the company shouldimplement the new page , keep the old page or run the expriment longer to make their decision

In this notebook the study is done on three parts:

Part I: for statistical exploration Part II: A/B Test Part III: A regression approach

Summary of findings

pval>0.05, zscore<1.64 nb: 1.64 is the critical value for a=0.05 conclusion: we fail to reject the nul hypothesis, so we should keep the old page.