April 20, 2022, 6:43 p.m. | Iqbal Ali

Towards Data Science - Medium towardsdatascience.com

Nothing deflates an A/B testing program quicker than data validation issues — and SRM is one of the most damaging. But how accurate is testing for SRM anyway?

Image by the author

Suppose you have an A/B test where you expected a 50/50 split of users in each test group. Instead, the Control and Variation groups are off by around 7%. You have a total of 8,000 users assigned to the experiment.

Should we stop the test? I mean, how …

a/b testing analytics conversion-optimization data science experimentation

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

.NET Software Engineer (AI Focus)

@ Boskalis | Papendrecht, Netherlands