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How would you design an A/B test that can accurately measure a 3% increase in effectiveness while comparing two product campaigns, while minimizing the impact of confounding variables?

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Interview question asked to Data Scientists interviewing at Juul Labs, Figma, Sony and others: How would you design an A/B test that can accurately measure a 3% increase in effectiveness while comparing two product campaigns, while minimizing the impact of confounding variables?.