## What is an Underpowered Test?

An underpowered A/B or MVT test is a test which had relatively poor probability for detecting a specified effect size of interest (MEI). Getting a non-significant outcome from such a test is a poor evidence for the null hypothesis versus the specified alternative hypothesis for which statistical power is calculated.

A test can be underpowered with respect to some possible alternatives while being properly powered or overpowered versus others since power is calculated at a point. By definition in frequentist statistics the larger the magnitude of the effect of interest, the more powerful the test.

## Articles on Underpowered Test

- The Importance of Statistical Power in Online A/B Testing
- Underpowered A/B Tests – Confusions, Myths, and Reality

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.