Two-Way ANOVA, or Two-Way Analysis of Variance, is a statistical method used to evaluate the impact of two independent variables on a dependent variable. It helps researchers understand how these factors interact and influence the outcome, allowing for a more comprehensive analysis than a one-way ANOVA, which only considers one factor. This technique is particularly useful in experiments where multiple groups are compared, such as in agricultural studies or clinical trials. By examining the main effects of each factor and their interaction, Two-Way ANOVA provides insights into complex relationships within the data.