ANOVA (Analysis of Variance) is a statistical method used to compare the means of three or more groups to determine if there are significant differences between them. It helps identify whether any observed differences in group means are due to actual effects or simply random variation. ANOVA is commonly used in experiments to test hypotheses about differences between groups.

ANOVA is used to compare means across multiple groups to determine if at least one group differs significantly from the other

ANOVA (Analysis of Variance) is used to test for differences in the means of three or more groups or categories in an experiment or study. It helps determine whether the differences in group means are statistically significant or likely due to random chance. ANOVA is commonly used in experiments where researchers want to examine the effect of one or more independent variables (factors) on a dependent variable. It is applied in fields like biology, economics, psychology, and manufacturing to compare treatment effects, product variations, or performance outcomes across multiple groups.

To determine whether there are any statistically significant differences between the means of three or more independent (unrelated) groups.