You have a hunch that three different study techniques lead to different exam scores — or maybe four types of fertilizer produce different crop yields. A t‑test lets you compare two groups, but with three or more, running many t‑tests increases the chance of a false positive. Analysis of Variance (ANOVA) solves this by testing whether any group means differ, all in one go, while keeping the overall error rate under control.