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Experimental design and A/B testing: Data Analytics course | Zoonk

16. Experimental design and A/B testing

Design randomized experiments and A/B tests with clear units, outcomes, guardrail metrics, sample sizes, and stopping rules. Analyze practical significance while avoiding peeking, novelty effects, and assignment contamination.

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