Discriminating two different kind of graphs

Hi everyone,

I got a question regarding the 2 graphs down here.

I want to discriminate these 2 graphs, I've been thinking in the sense of significant differences in statistical properties of the two graphs to generalize the distinction (e.g. t-tests or ANOVA). But my knowledge of statistics is too limited to really use this.

I would be really grateful if anyone could help or just point me in the right direction. Any other suggestions are really appreciated.

Thanks if you're reading this and trying to help.

Kind regards,

Dries

[Walter Roberson]

Ic the second had 9 small peaks close together then would that be considered to be essentially the same as the first graph that has 9 wwll separated peaks?

[Dries van Roovert]

Such a thing physically wouldn't occur during my experiments.

So yes you could consider it the same then.

[Walter Roberson]

Then why not just count peaks?

[Dries van Roovert]

I've been thinking in the sense of significant differences in statistical properties of the two graphs to generalize it (e.g. t-tests or ANOVA). But my knowledge of statistics is too limited to really use this.

I should've made this more clear in the question, sorry for that.

If no other options arise, counting peaks might indeed be the best solution.

[Walter Roberson]

t-test is for testing samples drawn from a random memory-less distribution. You would need some kind of multi-modal test. See https://en.wikipedia.org/wiki/Multimodal_distribution#General_tests