Even Split Increases Power of A/B Tests
Experiments reach statistical significance faster when split evenly between control and treatment groups due to higher statistical power from variance reduction. Unequal splits prolong reaching significance and can negatively impact users. The recommendat
Author: Qike (Max) Li
Publication: Towards Data Science
Date: April 13, 2022
The Article in Three Sentences
Experiments reach statistical significance faster when split evenly between control and treatment groups due to higher statistical power from variance reduction. Unequal splits prolong reaching significance and can negatively impact users. The recommendation is a 50/50 split for faster results, avoiding unequal splits unless necessary for specific business needs.