The effect size is the degree of distance between the null hypothesis and alternative hypothesis distributions. The larger the effect size, the easier it is to detect a true difference between the two population means. The effect size is the only factor that influences power that is not under the investigator's control. We estimate the effect size (anticipated difference between our null hypothesis and alternative hypothesis) from the literature. Here is our statistical power graph.