What does "z Score" mean?

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

What is a z Score?

A z Score or a z-statistic is the result of applying a Z-test and it represents a point from a standard normal distribution. The z score is a standardized statistics meaning that the percentage of observation that fall between any two points is known. For example, all values below a z score of 1.96 represent 97.5% of the cumulative probability and all values below 1.28 represent 90% of the cumulative probability.

Z scores are often used in statistical analysis of an A/B test due to the large sample sizes involved which allow the population standard deviation to be estimated with precision using the sample standard deviation. A z score is usually communicated as a p-value by calculating the cumulative distribution function of the Z-distribution, however they may also be presented in raw form, e.g. when communicating an efficacy boundary or a futility boundary due the impossibility in transforming them to p-values reliably in such cases.

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-testt 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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