Analysis of Covariance (ANCOVA) is a statistical technique that combines the features of ANOVA and regression to evaluate whether population means of a dependent variable are equal across levels of a categorical independent variable, while controlling for the effects of covariates. It is particularly useful in experimental designs where random assignment is not possible, providing a more accurate assessment by adjusting for pre-existing differences among groups.