# PERMANOVA Output
**URL:** https://forum.qiime2.org/t/permanova-output/12826
**Category:** User Support
**Created:** [December 10, 2019, 12:53pm UTC](https://forum.qiime2.org/t/permanova-output/12826 "2019-12-10T12:53:41Z")
**Posts on this page:** 4
**Page:** 1
### Author:  [@ari\_sh70](https://forum.qiime2.org/u/ari_sh70)
#### Post date: [December 10, 2019, 12:53pm UTC](https://forum.qiime2.org/t/permanova-output/12826/1 "2019-12-10T12:53:41Z")
Hello everyone!
I have 48 samples that divided to two groups ( MOL = 26 , PIC = 22 ). As I expected they are significant.
In the first plot (Distances to MOL) it is written that "MOL (n = 325) and PIC (n = 572)". What are these "n" here?
Best,
Armin
---
### Author:  [@Nicholas\_Bokulich](https://forum.qiime2.org/u/Nicholas_Bokulich)
#### Post date: [December 10, 2019, 3:41pm UTC](https://forum.qiime2.org/t/permanova-output/12826/4 "2019-12-10T15:41:28Z")
Hi @ari_sh70,
> [@ari\_sh70](#):
>
> What are these “n” here?
The Ns in this plot are not number of samples, but rather number of pairwise comparisons. See an explanation here:
> [@Unifrac Significant Group over-inflating n's](https://forum.qiime2.org/t/unifrac-significant-group-over-inflating-ns/1043/3):
>
> Hey @saatkinson, heart Thanks! I was able to re-run your command to look at the results. For the figures, the n doesn't represent the number of samples, but rather the number of pairwise comparisons that make up the distribution for the metric that the box-plot represents. For example, your 2920X\_Control vs 2920X\_Control has a sample-size of 7, and so the number of possible pairwise comparisons would be \frac{7 \* (7-1)}{2} = 21 which matches what we see in the second figure. To state it a…
> [@ari\_sh70](#):
>
> I have 48 samples that divided to two groups ( MOL = 28 , PIC = 20 ).
Judging from your PCoA plot here, it looks like the sample sizes are MOL=26, PIC=22:
> [@alpha and beta output problems](https://forum.qiime2.org/t/alpha-and-beta-output-problems/12814/4):
>
> Now I have 48 samples, and the beta diversity graph is showing that there is a significance between two farms (blue and red dots) but on the other hand the p-values is saying that they are not significant. What could be the scientific reason behind that? Beta diversity graph [Screenshot%20from%202019-12-10%2007-22-17] P-value: [Screenshot%20from%202019-12-10%2007-23-19] Thank you all
---
### Author:  [@ari\_sh70](https://forum.qiime2.org/u/ari_sh70)
#### Post date: [December 10, 2019, 3:45pm UTC](https://forum.qiime2.org/t/permanova-output/12826/5 "2019-12-10T15:45:57Z")
> [@Nicholas\_Bokulich](#):
>
> See an explanation here:
ok thanks. I am going to read that
> [@Nicholas\_Bokulich](#):
>
> Judging from your PCoA plot here, it looks like the sample sizes are MOL=26, PIC=22:
You are absolutely right. My mistaken. I apologize.
---
### Author:  [@system](https://forum.qiime2.org/u/system)
#### Post date: [January 10, 2020, 9:45pm UTC](https://forum.qiime2.org/t/permanova-output/12826/6 "2020-01-10T21:45:57Z")
This topic was automatically closed 31 days after the last reply. New replies are no longer allowed.