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In a clinical study, acceptable power typically refers to the probability of correctly rejecting the null hypothesis when it is false, commonly set at 80% or 90%. This means that there is an 80% or 90% chance of detecting a true effect if one exists. The choice of power affects the sample size required for the study; higher power generally necessitates a larger sample size to ensure reliable results. Adequate power is crucial for the validity and credibility of the study's findings.

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