What is the power of each of the following studies, using a t test for dependent means (based on the .05 significance level
Is something missing when y ou mention "following studies?" "Cut and paste" rarely works here so you may have to type out the rest?
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To determine the power of a study using a t-test for dependent means, you will need to know the effect size, sample size, and the significance level.
The effect size refers to the magnitude of the difference between the two groups being compared. It can be assessed using various measures like Cohen's d or eta-squared.
The sample size is the number of pairs of observations or participants in your study.
The significance level, typically denoted as alpha (α), is the predetermined probability of rejecting the null hypothesis when it is actually true. In this case, you mentioned a significance level of .05, which means a 5% chance of a Type I error (rejecting the null hypothesis when it is true).
With these parameters in mind, we can calculate the power using statistical software or tools specifically designed for power analysis. These tools will require the specific values for the effect size, sample size, and significance level.
Keep in mind that without this specific information, it is not possible to determine the power of the study accurately. So, you would need to gather the necessary information and use power analysis tools to get the power estimate for each study.