Measurement and evidence

What is statistical power?

The probability that a test will detect a real effect of a given size, if an effect of that size genuinely exists in the population being measured. A design with low power will usually miss a genuine effect, raises the share of the results it does produce that are noise rather than signal, and exaggerates the size of the effects it does detect.

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what it means here

Here is what the term means for a UK buyer

The definition above holds anywhere. Buying media in the UK adds the detail below, including where AdBuyMCP does something different.

The concept that separates measurement from theatre, and the one almost no media platform surfaces. AdBuyMCP computes it before running a lift test, defaulting to 80% power at 5% significance on daily observations, and refuses to proceed when the design falls short, returning the days of post-exposure data the test would actually need and the minimum lift it could detect. The refusal is the feature: an underpowered result is a random one, and a random number in a board pack is indistinguishable from a real one.

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These terms are also in Measurement and evidence

What you can prove afterwards, and how to tell a number that means something from one that does not.

All 81 terms