Power is a measure of the sensitivity of an experiment to detect the real effects of the independent variable, if there are any.

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Quizplus · Accepted Answer

This statement is true. Power is defined as the probability that a statistical test will reject the null hypothesis when the alternative hypothesis is true. In other words, it measures the ability of an experiment to detect an effect of the independent variable, if one actually exists. A higher power indicates a greater chance of detecting a real effect, while a lower power indicates a greater chance of accepting the null hypothesis when there is actually an effect present. Thus, power is a measure of the sensitivity of an experiment to detect real effects.

Power Is a Measure of the Sensitivity of an Experiment