Answer:
The correct option is: the portion of variability in a sample attributable to a treatment effect relative to the total variability in the sample.
r2 represents the proportion of variance in the dependent variable that can be explained by the independent variable(s). It is a measure of effect size that ranges from 0 to 1, with higher values indicating a stronger relationship between the variables.
Option a is consistent with this definition, as it describes how much of the variability in the sample can be attributed to the treatment effect. Option b is incorrect because r2 does not correct for sample size. Option c and d are also incorrect because they refer to statistical significance, which is different from effect size.