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What does a p-value represent in hypothesis testing?

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In hypothesis testing, the p-value represents the probability of obtaining results as extreme as, or more extreme than, the observed data, assuming the null hypothesis (H₀) is true; a smaller p-value indicates stronger evidence against H₀.

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