Power

The probability of correctly rejecting the null hypothesis when the alternative hypothesis is true, indicating the ability to detect a practical effect.

Power

The smallest value considered as practically significant, used as a threshold for determining if an effect is meaningful.

Minimum Effect Size

Shift the null distribution by the minimum effect size, determine rejection regions, calculate the fraction falling in the rejection region, and interpret the probability of observing extreme values.

Steps for Calculating Power

The number of participants in a study, influencing the power of the study and the ability to detect real effects.

Sample Size

Finding an appropriate sample size to achieve a power of 80-90%, balancing cost, ethical considerations, and precision of effect estimates.

Balancing Sample Size and Power