StatsTest Blog
Experimental design, data analysis, and statistical tooling for modern teams. No hype, just the math.
StatsTest
A/B TestingJan 26New
Non-Normal Metrics: Bootstrap, Mann-Whitney, and Log Transforms
How to analyze A/B test metrics that aren't normally distributed—heavy-tailed revenue, skewed engagement, and other messy real-world data. Covers bootstrap methods, Mann-Whitney U, and when transformations help.
StatsTest
A/B TestingJan 26New
Sequential Testing: How to Peek at P-Values Without Inflating False Positives
Learn how sequential testing methods let you monitor A/B test results as data accumulates while maintaining valid statistical guarantees. Covers group sequential designs, always-valid inference, and practical implementation.