What is the conventional p-value threshold for statistical significance in biomedical research?

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Multiple Choice

What is the conventional p-value threshold for statistical significance in biomedical research?

Explanation:
Statistical significance is typically declared when the p-value is 0.05 or smaller. The p-value is the probability of obtaining results as extreme as what was observed, assuming the null hypothesis is true. Using 0.05 as the standard arose from historical convention, providing a practical balance between limiting false positives (Type I error) and maintaining reasonable study power. It’s important to remember that a p-value does not tell you the probability that the null hypothesis is true or the real-world importance of the finding. In biomedical research, this threshold is common, but interpretation should also consider effect size, confidence intervals, study design, and adjustments for multiple comparisons.

Statistical significance is typically declared when the p-value is 0.05 or smaller. The p-value is the probability of obtaining results as extreme as what was observed, assuming the null hypothesis is true. Using 0.05 as the standard arose from historical convention, providing a practical balance between limiting false positives (Type I error) and maintaining reasonable study power. It’s important to remember that a p-value does not tell you the probability that the null hypothesis is true or the real-world importance of the finding. In biomedical research, this threshold is common, but interpretation should also consider effect size, confidence intervals, study design, and adjustments for multiple comparisons.

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