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DAYou run a one-way ANOVA and find a statistically significant difference in weight loss between the groups.
Now, you can perform a post-hoc test like Tukey’s HSD to see which specific pairs of groups (e.g., high-intensity vs. standard, low-impact vs. standard) have statistically different weight loss.
Additionally, you can create boxplots showing the distribution of weight loss in each group. This might visually reveal which groups have the most spread or outliers.
By combining ANOVA with post-hoc tests and visualizations, you can gain a much clearer picture of how your groups differ and potentially identify the most effective exercise program in your example.
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