g*power is a statistical tool used to determine the power of a statistical test, which is the probability of correctly rejecting the null hypothesis when it is false. It helps researchers decide on the appropriate sample size needed to detect an effect of a given size with a specified level of confidence. This is crucial for ensuring that studies are adequately powered to yield reliable results, thus minimizing the risk of Type II errors.
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