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What is a p-value, and what does it indicate in hypothesis testing?

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The p-value is the probability of obtaining test results at least as extreme as the observed results, assuming the null hypothesis is true. A low p-value (typically < 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.

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