Stats 6.6Concept7 parts

Designing and Reading an A/B Test

Decide whether a new deployed model improves an outcome that matters to users, not merely an offline score.

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In this lesson7 parts

  1. 01State the decision before generating outcomes
  2. 02Size the test for a stated statistical target
  3. 03Randomize and generate the labelled simulation
  4. 04Derive the primary effect and its uncertainty
  5. 05Derive the return guardrail at the correct unit
  6. 06Apply the locked rule without moving its thresholds
  7. 07Transfer the workflow to a real test