The power of the t test increases with increases in the effect of the independent variable.

Question

Quizplus · Accepted Answer

The power of the t test increases with increases in the effect of the independent variable. This means that as the effect size (i.e. the difference between the groups being compared) gets larger, the t test becomes more likely to detect a statistically significant difference. This is because the effect size is one of the factors that contributes to the power of a statistical test, along with the sample size, the alpha level, and the variability of the data. So, if the effect size is larger, the t test will be able to detect it with greater accuracy, resulting in a higher power.

The Power of the T Test Increases with Increases in the Effect