Coming back to statistics after a long time, so please forgive any ignorance.
I'm curious how I might be able to argue for statistical significance of a test. Specifically, I'm after a
p-value for my test.
I ran a test along with a control with approximately the same, reasonably large group size. For example:
Group A (control) = list of incidence rates in units of (seizures / (rat * yr)) = [0.01, 0.014, ... 0.012] Group B (test) = list of incidence rates in units of (seizures / (rat * yr)) = [0.012, 0.01, ... 0.011]
I want to know whether my test shows a statistically significantly difference - whether the frequency of the event was meaningfully reduced.
It appears that this magic calculator does exactly this. How can I do this in python?