______ is defined as the probability of rejecting the null hypothesis when the alternative hypothesis is true.

A) Type I error
B) Error variance
C) Statistical Power
D) Effect size

Statistical Power is defined as the probability of rejecting the null hypothesis when the alternative hypothesis is true. It is a measure of the ability of a statistical test to detect a true effect or relationship, and it is influenced by factors such as sample size, effect size, and level of significance. Type I error refers to the probability of rejecting the null hypothesis when it is actually true, while error variance refers to the variability in the errors or residuals of a statistical model. Effect size is a measure of the magnitude of a difference or relationship between variables.