Phase 10 · A/B Testing & Experimentation
TopicsStatistical Significance in A/B Tests
Part of the Data Analyst Roadmap.
Summary
Applying Phase 4's hypothesis testing directly to a live experiment — checking whether an observed difference between variants is likely real, not noise, before rolling out a change.
How to Learn This
- 1Calculate significance for a simple two-variant test using real or sample numbers.
- 2Learn why 'peeking' at results early and stopping on a good day inflates false positives.
- 3Practice explaining a non-significant result honestly, without over-interpreting it.
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