Statistical Significance & Avoiding False Positives
Learn the statistics behind trustworthy experiments: p-values, sample size, statistical power, and the traps that produce false wins in growth testing.
When Is a Win a Real Win?
Growth teams run constant experiments—but acting on false positives wastes effort and misleads strategy. Understanding statistical significance separates real wins from noise.
This lesson gives you the statistical literacy to trust your results.
Variation Is Everywhere
Even identical groups produce different numbers by chance. The core question of A/B testing is: is the observed difference real, or just random variation?
Statistics answers this rigorously.
All lessons in this course
- Developing a Growth Hypothesis & Framework
- Running A/B Tests Across Growth Channels
- Iterating & Scaling Successful Experiments
- Statistical Significance & Avoiding False Positives