Analysis of mock A/B Test Results by an e-commerce company. Application of probability, hypothesis testing, sampling distribution, two-sample z-test, and logistic regression to determining whether the company should implement the new web page it developed to increase users' conversion rate

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.

Applying A/B test to help determing if company should launch the new page

Data Science Foundations II | Statistics Fundamentals for Data Science | Sampling for Data Science

All my R code used for statistical analyses - Hypothesis Testing, t-tests, etc.

Notas para clase del ITAM de estadistica2 - primavera 2020

Analyze A/B Test Results - Data Analyst Nanodegree with Udacity