If an analysis of variance is significant,you should use a multiple comparison test to locate groups with significantly different comparisons.

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When an analysis of variance (ANOVA) shows significant differences among the groups, it only indicates that there is a significant difference in at least one group mean from the others. To determine which specific groups differ, multiple comparison tests like Tukey's or Newman-Keuls can be used. These tests compare all pair-wise combinations of means to identify the significant differences. Therefore, the statement is true, and multiple comparison tests should be used to locate groups with significantly different comparisons.

If an Analysis of Variance Is Significant,you Should Use a Multiple