In interpreting the output for the Duncan's multiple range test,different means are listed as different subsets.

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Duncan's multiple range test is used to identify the significant differences among means in an ANOVA. It provides a way to classify means into different subsets based on their statistical significance. Means that are not significantly different from each other are grouped together in the same subset, while means that are significantly different from each other are placed in different subsets. Therefore, different means are listed as different subsets in the output of Duncan's multiple range test.

In Interpreting the Output for the Duncan's Multiple Range Test,different