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Calculate p values ​​based on differences between boot 95% confidence intervals

I have a boot model suitable for some data from different three groups, using 2.5 and 97.5 percentiles to create a 95% confidence interval.

I know that if 95% confidence intervals do not overlap, then there is a significant difference between the values ​​of at least p <0.05. I would like to calculate the exact p values ​​for pairwise comparisons between the following groups:

           Mean     LowerCI   UpperCI 
Group A:  0.05113   0.02279   0.07926

Group B:  0.10979   0.07954   0.14352

Group C:  0.10937   0.09400   0.13040

Any help would be greatly appreciated!

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NO! Do not do this!

ANOVA - , -, . , , , . , , , ( ) - .

, ANOVA.

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