>The most important thing your P-value "doesn't do" is tell you if your underlying model structure is correct. It wasn't meant for that though. It is meant as

>The most important thing your P-value "doesn't do" is tell you if your underlying model structure is correct. It wasn't meant for that though. It is meant as a value to look at which gives an indication of the probability that what experimental procedure you are performing is causing a differentiation between groups. It is just one indication among many diagnostics to run on a model. >For physical systems, where God[1] actually makes sure that your distributions, errors, etc are normal, it's pretty awesome. Non-parametric tests have been around for quite some time.