SWhat changed
Neyman and Pearson organized statistical tests around error rates and power, deriving most-powerful tests for specified hypothesis comparisons.
Scientific scope
Neyman and Pearson organized statistical tests around error rates and power, deriving most-powerful tests for specified hypothesis comparisons. Scope limitation: The optimality result requires its stated hypotheses and constraints. A significance test does not give the probability that a scientific theory is true, and statistical support does not replace replication.
Evidence
Assessment uses the catalogue-linked source evidence for the stated contribution. The optimality result requires its stated hypotheses and constraints. A significance test does not give the probability that a scientific theory is true, and statistical support does not replace replication.
Contributors
- Jerzy Neyman · SCIENCE: Named source contributor; exact labor shares are not measured.
- Egon Sharpe Pearson · SCIENCE: Named source contributor; exact labor shares are not measured.
- IX. On the problem of the most efficient tests of statistical hypotheses
- IX. On the problem of the most efficient tests of statistical hypotheses — deposited bibliography
- Original Neyman–Pearson paper
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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