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It indicates that the population means of the groups you've analysed are not all equal, either because they're all different, or because just one of them differs.

Having rejected the null hypothesis, further analysis is necessary to determine which population means differ from the others. This can be done graphically (e.g. boxplots), by inspection of the means or via more formal tests such as Contrasts.

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Q: In a one-way analysis of variance if the null hypothesis is rejected what does it indicate?
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