What does "t Score" mean?

Definition of t Score in the context of A/B testing (online controlled experiments).

What is a t Score?

A t Score or a t-statistic is the result of applying a T-test and it represents a point from a Student's T-distribution with n-k degrees of freedom where n is the total sample size and k is the number of test groups in an A/B test. A t score is often not communicated directly but is first transformed into a p-value by calculating the cumulative distribution function of the relevant T-distribution.

A t score is rarely used in A/B testing since it is only needed when the population standard deviation is unknown and the sample size is smaller than 30. In all other cases the z score and the t score[/t] are identical for most practical purposes.

Like this glossary entry? For an in-depth and comprehensive reading on A/B testing stats, check out the book "Statistical Methods in Online A/B Testing" by the author of this glossary, Georgi Georgiev.

Related A/B Testing terms

Standard DeviationT-testz Score

About the author

Georgi Z. Georgiev

Georgi has over twenty years of experience in online marketing, web analytics, statistics, and design of business experiments.

Author of the book "Statistical Methods in Online A/B Testing", white papers on statistical analysis of A/B tests, and a speaker, he has been distinguished as a winner in the Data & Analytics category of the 2024 Experimentation Thought Leadership Awards.

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