The value of power is influenced by the alpha level,sample size,and effect size.

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The value of power is indeed influenced by the alpha level, sample size, and effect size. The alpha level (typically set at 0.05 or 0.01) determines the probability of making a Type I error (rejecting the null hypothesis when it is actually true). A higher alpha level increases the probability of finding a significant result, but also increases the risk of a false positive. A larger sample size increases power (the probability of finding a significant effect if one truly exists) by reducing sampling error and increasing precision. A larger effect size (the magnitude of the difference between the groups being compared) also increases power, as larger effects are easier to detect.

The Value of Power Is Influenced by the Alpha Level,sample