# Beta diversity analysis p-value result interpretation
**URL:** https://forum.qiime2.org/t/beta-diversity-analysis-p-value-result-interpretation/23214
**Category:** User Support
**Tags:** beta
**Created:** [June 1, 2022, 3:44am UTC](https://forum.qiime2.org/t/beta-diversity-analysis-p-value-result-interpretation/23214 "2022-06-01T03:44:40Z")
**Posts on this page:** 3
**Page:** 1
### Author:  [@Bowornpol\_Nuim](https://forum.qiime2.org/u/Bowornpol_Nuim)
#### Post date: [June 1, 2022, 3:44am UTC](https://forum.qiime2.org/t/beta-diversity-analysis-p-value-result-interpretation/23214/1 "2022-06-01T03:44:40Z")
I have struggled to interpret the p-value from permanova in beta diversity analysis.
[beta\_bray\_group\_significance\_new.qzv](https://forum.qiime2.org/uploads/short-url/lJZtmrkiLDGx1zytXrJw8zTBwag.qzv) (514.5 KB)
[unweighted-unifrac-sig.qzv](https://forum.qiime2.org/uploads/short-url/zmUMRU9HpNaJf6Ao9D3duemYK9w.qzv) (707.8 KB)
How can I interpret which group is significantly different from others by looking at the p-value?
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### Author:  [@timanix](https://forum.qiime2.org/u/timanix)
#### Post date: [June 1, 2022, 5:23am UTC](https://forum.qiime2.org/t/beta-diversity-analysis-p-value-result-interpretation/23214/2 "2022-06-01T05:23:23Z")
Welcome to the forum!
Let's take as an example Bray Curtis test. In the first table you can see that the factor you tested significantly affected beta diversity (p-value). In the lower table with pairwise comparisons based on q-values (adjusted for multiple comparisons p-values) you also can see that all your groups (group1 and group 2 columns) are significantly different from each other.
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### Author:  [@system](https://forum.qiime2.org/u/system)
#### Post date: [July 2, 2022, 11:24am UTC](https://forum.qiime2.org/t/beta-diversity-analysis-p-value-result-interpretation/23214/3 "2022-07-02T11:24:20Z")
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