AB TASTY BLOG

Data Science

Statistical Significance Definition

Statistical Significance: Definition & Understanding Key Concepts

Statistical significance is a widely-used concept in statistical hypothesis testing. It indicates the probability that the difference or observed relationship...

Fail at testing marketing tools

Statistics: What are Type 1 and Type 2 Errors?

Even though hypothesis tests are meant to be reliable, there are two types of errors that can occur. These errors...

Use data science and A/B testing to win election

How Vote Leave Used Data Science and A/B Testing to Achieve Brexit

Until recent years, a politician’s chances of winning an election could be predicted, largely, based on one decisive element: the...

How Does Artificial Intelligence Generate Employment?

Note: Hubert Wasseris a data analysis engineer. After spending 10 years at ESIEA (Paris Engineering School) teaching algorithm and machine learning,...

What Does a Data Scientist Think of Google Optimize?

Note: This article was written by Hubert Wassner, Chief Data Scientist at AB Tasty. Some of you may have noticed...

Bayesian Statistic Suited to your for A/B Testing Needs!

AB Tasty’s mission is to make A/B test and content customisation accessible to as many people as possible. The feature that...