The practical use of statistical power is that it informs you the researcher:

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Question restatement: The practical use of statistical power is that it informs you the researcher:

Option 1: 'whether you will find significant results.' While power relates to the probability of detecting a true effect if it exists, it does not guarantee significance in a given study, since significance also depends on the true effect size and observed data. This option overstates power’s predictive capability and conflates power with a guaranteed outcome.

Option 2: 'how many participants are needed to conduct a study to detect a certain effect size' This is the core purpose of conducting a power analysis: to determine the sample size necessary to have a specified probability (power) of detecting an effect of a given size, at a chosen significance level. It directly ties power to sample size planning.

Option 3: 'whether you will find important results.' Power does not measure importance or practical significance. A study could have high power and detect a statistically significant effect that is trivially small or practically meaningless, or low power and miss a meaningful effect. This option confuses statistical power with practical significance or importance.

In summary, Option 2 directly reflects the practical use of statistical power in study design by guiding how many participants are needed to detect a specified effect size with a chosen level of confidence. The other options misinterpret power’s role by conflating it with guaranteed significance or practical importance, respectively.

The practical use of statistical power is that it informs you the researcher:Single choice

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