Statistical technique used to compare mean of more than two groups is

Analysis of variance or ANOVA tests whether group means differ more than expected by chance. It partitions total variability into between group and within group components and uses an F statistic to judge significance. If the overall test is significant post hoc comparisons locate which pairs differ while controlling error rates. Assumptions include independence normality and equal variances. When those fail robust or nonparametric options help. Educators use ANOVA to compare teaching methods schools or interventions. Reporting effect sizes and confidence intervals makes findings useful for policy and professional learning communities.