Moderator note: This thread was split from a previous thread as it didn't directly address the question in the previous thread and deserves its own space

Hi everybody,

I know it is a bit old topic but I hope someone can give me advice. I have a similar situation (ANOVA with percentages) but my percentages do not derive from counts.

I have to define the appropriate statistical analysis for an experiment to be carried out.

We have 7 groups with equal size (n=4). The factor is a nominal variable.

The measured variables are concentrations in specific areas of the sample and their corresponding percentages, calculated as "concentration in area" / "total concentration".

I read percentages may not meet the normality assumptions of ANOVA, especially in the case of extreme values (close to 0% or 100%).

My idea was to:

- use ANOVA if the percentages are in the range 20%-80% (found elsewhere)

- use Kruskal-Wallis if extreme values are present.

Would someone agree on this solution?

Hi everybody,

I know it is a bit old topic but I hope someone can give me advice. I have a similar situation (ANOVA with percentages) but my percentages do not derive from counts.

I have to define the appropriate statistical analysis for an experiment to be carried out.

We have 7 groups with equal size (n=4). The factor is a nominal variable.

The measured variables are concentrations in specific areas of the sample and their corresponding percentages, calculated as "concentration in area" / "total concentration".

I read percentages may not meet the normality assumptions of ANOVA, especially in the case of extreme values (close to 0% or 100%).

My idea was to:

- use ANOVA if the percentages are in the range 20%-80% (found elsewhere)

- use Kruskal-Wallis if extreme values are present.

Would someone agree on this solution?

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