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DMRT, or Duncan's Multiple Range Test, is used in data analysis to determine which specific group means are significantly different from each other after an ANOVA test. It helps to identify where the differences lie among groups by providing a pairwise comparison of means. Typically, DMRT is applied when you have more than two groups and want to control the Type I error rate while making multiple comparisons. The results are visualized through a grouping of means, allowing for an easy interpretation of which groups differ significantly.

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