Answer-In hypothesis testing, what does a p-value less than 0.05 typically indicate?

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Explanation A p-value less than 0.05 signifies that the probability of observing the test statistic, or something more extreme, under the null hypothesis is less than 5. This threshold, commonly used in hypothesis testing, indicates strong evidence against the null hypothesis, prompting its rejection in favor of the alternative hypothesis. It is a measure of the strength of evidence, not absolute proof. This approach underpins statistical decision-making across fields, providing a rigorous standard for hypothesis evaluation.   Option A A p-value does not prove the null hypothesis it measures evidence against it.   Option B Sample size affects power, but p-value interpretation does not inherently reflect sample size issues.   Option D Confidence intervals are separate from p-values and serve to estimate population parameters.   Option E A p-value below 0.05 typically indicates sufficient evidence to reject the null hypothesis.

In hypothesis testing, what does a p-value less than

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