# Can I compute the p-value for a list of incidence rates?

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?

http://www.cdc.gov/nhsn/PS-Analysis-resources/PDF/StatsCalc.pdf