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A p-value is the probability of obtaining results at least as extreme as those observed, assuming the null hypothesis is true.
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SUPPORTED
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8 sources for · 0 against
Is it true that a p-value is the probability of obtaining results at least as extreme as those observed, assuming the null hypothesis is true?
Yes. Multiple peer-reviewed sources and a reference work state the standard definition: the p-value is the probability of obtaining results at least as extreme as those observed, assuming the null hypothesis is true. One source notes this is the conventional interpretation while discussing alternative framings.
Verdict: SUPPORTED · 8 sources for, 0 against · Last checked
Evidence for · 8
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Carazo-Díaz, C. & Prieto-Valiente, L. (2024). The p-value of a test is not the probability that the null hypothesis is true or false. doi.org. https://doi.org/10.33588/rn.7910.2024318
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More for · 7
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Nicolao, G., Fordellone, M., Schiattarella, P., Smimmo, A., Gennaro, P. D., & Speranza, T. (2025). Decision Rules in Frequentist and Bayesian Hypothesis Testing: P-Value and Bayes Factor. doi.org. https://doi.org/10.54103/2282-0930/29432
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p-value - Wikipedia. (n.d.). en.wikipedia.org. https://en.wikipedia.org/wiki/P-value
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Hazra, A. & Gogtay, N. (2016). Biostatistics series module 2: Overview of hypothesis testing. doi.org. https://doi.org/10.4103/0019-5154.177775
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Significance of p value in postgraduate thesis: do we need to change anything?. (2020). doi.org. https://doi.org/10.1136/postgradmedj-2019-137439
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The false evidence rate: An approach to frequentist error rate control conditioning on the observed P value. (2025). doi.org. https://doi.org/10.1073/pnas.2415706122
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Why a P-Value is Not Enough. (2018). doi.org. https://doi.org/10.1097/bsd.0000000000000695
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The Probability that Your Hypothesis Is Correct, Credible Intervals, and Effect Sizes for IR Evaluation. (n.d.). cir.nii.ac.jp. https://doi.org/10.1145/3077136.3080766
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