Hello all, I'm struggling to understand/interpret my graph and kruskal wallis test.

Basically, I've created a bar graph which looks pretty good. There are 5 bars, each with error bars, and none of the error bars overlap. All of my 5 groups look significantly different. HOWEVER, when I do a Kruskal Wallis test on the 5 groups, it says that only 2 of 5 are significantly different.

Visually, the error bars aren't even close to each other, so I can't understand why they are not significantly different. Not sure how to interpret this. Does it have something to do with an overall/familywise error that is applied? I have small sample sizes, could this be it? Why does my graph look significant when my data isn't?

Any advice about what is going on would be greatly appreciated.

Many thanks in advance

Basically, I've created a bar graph which looks pretty good. There are 5 bars, each with error bars, and none of the error bars overlap. All of my 5 groups look significantly different. HOWEVER, when I do a Kruskal Wallis test on the 5 groups, it says that only 2 of 5 are significantly different.

Visually, the error bars aren't even close to each other, so I can't understand why they are not significantly different. Not sure how to interpret this. Does it have something to do with an overall/familywise error that is applied? I have small sample sizes, could this be it? Why does my graph look significant when my data isn't?

Any advice about what is going on would be greatly appreciated.

Many thanks in advance

Last edited: