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The two distributions are very similar.
The two distributions were compared.
Well, two distributions with a different mean are different models.
You would be equally happy between those two distributions, okay?
This test gives a measure of the relative dispersion between two distributions (Goodman 1954).
In fact, this can really only take two distributions, and really, it's only one.
When comparing two distributions or a distribution with a reference value, we estimated the effect size using Hedges' g 78.
A Kolmogorov Smirnov test shows that the two distributions are different at the 99.999999983% significance level, comparable to 6σ.
These two distributions were used to evaluate whether the difference during the stimulation was larger than that during spontaneous activity.
The two distributions are clearly different, with the activity levels of the superflare stars shifted to higher values.
The code is written as a routine, which takes a single argument, mu, the expected value for the two distributions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com