A/B testing is a user experience research methodology that involves comparing two or more variants of a single variable to determine which is more effective. It includes application of statistical hypothesis testing and is often used in the field of statistics. A/B testing can be used to compare multiple versions of a single variable.
UC Berkeley
Fall 2022
UC Berkeley's course blends inferential thinking, computational thinking, and real-world relevance, offering students hands-on analysis of real-world datasets. It covers critical concepts in computer programming, statistical inference, privacy, and study design.
No concepts data
+ 33 more concepts