Hotelling's T-squared distribution - Wikipedia
In statistics, particularly in hypothesis testing, the Hotelling's T-squared distribution (T2), proposed by Harold Hotelling,[1] is a multivariate probability distribution that is tightly related to the F-distribution and is most notable for arising as the distribution of a set of sample statistics that are natural generalizations of the statistics underlying the Student's t-distribution. The Hote
A/B testing - Wikipedia
Challenges[edit] When conducting A/B testing, the user should evaluate the pros and cons of it to see if it aligns best with the results that they're hoping for. Pros: Through A/B testing, it is easy to get a clear idea of what users prefer, since it is directly testing one thing over the other. It is based on real user behavior so the data can be very helpful especially when determining what work
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