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