My experiment came back flat. Now what?
First, work out whether it was ever capable of detecting the effect you cared about. Compute the minimum detectable effect for the sample size you act
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13 pieces tagged “experiments”, newest first.
First, work out whether it was ever capable of detecting the effect you cared about. Compute the minimum detectable effect for the sample size you act
Twenty segments at α = 0.05 gives you a one-in-two chance of a false finding. Correct for it, or at minimum say how many you ran.
Twenty segments at α = 0.05 gives you a one-in-two chance of a false finding. Correct for it, or at minimum say how many you ran.
A percentage without a denominator is not a finding. The Wilson interval behaves sensibly at small n, where the normal approximation falls apart.
A percentage without a denominator is not a finding. The Wilson interval behaves sensibly at small n, where the normal approximation falls apart.
Twenty segments at α = 0.05 gives you a one-in-two chance of a false finding. Correct for it, or at minimum say how many you ran.
Variance reduction using pre-experiment data, explained without the paper.
We audited two years of tests. Over half were incapable of detecting the effect they were looking for.
When a change hits one group and not another, compare the change over time rather than the levels. Any time-invariant difference cancels out.
When a change hits one group and not another, compare the change over time rather than the levels. Any time-invariant difference cancels out.
When a change hits one group and not another, compare the change over time rather than the levels. Any time-invariant difference cancels out.
A percentage without a denominator is not a finding. The Wilson interval behaves sensibly at small n, where the normal approximation falls apart.
Fourteen segments, one significant result, and the correction that made it go away.