A/B testing
Multiple comparisons calculator
Adjust p-values and confidence levels for multiple comparisons. FWER and FDR error control for online controlled experiments.
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Adjust statistics for multiple comparisons
- Useful when one of multiple A/B test metrics can lead to action
- Family-Wise Error Rate control through the Šidak correction
- False Discovery Rate via the Benjamini–Hochberg–Yekutieli correction
- Supports p-values or confidence levels as input
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Start free trialSee what our clients have to say
We've been using the sequential calculator with about 90% of our clients for many years now. The team have found it hugely beneficial to follow such a rigorous statistical protocol, and they appreciate how the UI simplifies explaining results to clients.
Sim Lenz
Director of Experimentation at Conversion.com
At Cro Metrics, we've run tens of thousands of experiments for leading brands. Analytics Toolkit and the AGILE test calculator represent a step above and beyond every one of the other tools we've used.
Ryan Lucht
Director of Strategy, Cro Metrics