You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This repository is a resource for learning and applying statistics in data science. It contains code examples and explanations for many common statistical concepts, from descriptive statistics through regression and time series analysis.
Analysing the results of an A/B test run for 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.
The project finds the Z-score number used in deep calculus to receive effective probability results. Apart from other libraries, this project is user-friendly, requires only 383 KB and if there is missing data the Statistical Test calculates for you.
This repository contains a A/B testing for a fictional company Globox where I analyzed the results and provided recommendations to the stakeholders about whether Globox should launch a new experience to all their users.