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Interpreting P Values in Experiments

MediumStatistics & Probability00:00
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Problem

Scenario

You are reading an A/B test result for an Instagram Reels ranking change, and the primary metric is Instagram Save. The readout reports a p-value, and the team wants to know what that number actually means, especially since the analysis used CUPED.

Question

How would you interpret a p-value in a product experiment?

Experiment Context

Method·A/B test with CUPED adjustmentSurface·Instagram ReelsFramework·AARRR engagementPrimary metric·Instagram Save per userDecision threshold·alpha = 0.05