Phase 10 · A/B Testing & Experimentation

Topics

Statistical 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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