Use randomized-experiment data and simulations to compare treatments and judge significance.
Compare treatment claims on separate evidence/design axes
Problem
Randomized study A reports effect \(3\) and \(p~=~0.18\); randomized study B reports effect \(2\) and \(p~=~0.01\). Compare statistical evidence, observed magnitude, causal support, and population scope.
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