Statistical power is the likelihood of correctly detecting a real effect in a study. It helps researchers avoid two types of errors: saying there is an effect when there isn't (Type I error) or missing an effect that is actually there (Type II error). By understanding statistical power, scientists can make sure their studies are reliable and accurate.