Table 1From “What is an A/B test? randomized controlled trials, statistical power, and governance”
Decision Errors and Statistical Power
Table 1Decision Errors and Statistical Power
| Decision | Null hypothesis true | Treatment effect real (lift) |
|---|---|---|
| Reject the null (declare a winner) | Type I error (alpha): a false positive, about 5% of the time | Correct decision (power, one minus beta): a true discovery, 80% to 90% of the time |
| Fail to reject (retain the control) | Correct decision (one minus alpha): a true negative, about 95% of the time | Type II error (beta): a false negative, 10% to 20% of the time |
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What is an A/B test? randomized controlled trials, statistical power, and governance
An A/B test is a randomized experiment comparing two concurrent variants to measure the causal impact of a single change on commercial performance.
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The A/B test experimental architecture
What is an A/B test? randomized controlled trials, statistical power, and governance

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Taxonomy of Experimentation Architectures
What is an A/B test? randomized controlled trials, statistical power, and governance

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The Metric Hierarchy in Controlled Experiments
What is an A/B test? randomized controlled trials, statistical power, and governance
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