The ability for a study to reveal a statistically significant difference between the levels of an independent variable when one truly exists is known as power. A statistical test's power is the probability that rejecting the null hypothesis is valid. It can be calculated by the expression Power = 1 - beta where beta is the probability of a type II error.
