I would advise the physiologist to try looking at science as a whole, and look at the statistics applicable to the problem as an integral part of the research problem itself, statistics is about drawing meaningful insights, if there are any, from a body of data, the tools which make that possible have firm mathematical and sometimes, very simple geometrical foundations, in my opinion, you can attain a good understanding of the statistical tools you are using if you can develop an intitutive understanding of the geometrical framework associated with the statistical tool, you will find in many cases, some ideas of your own subject discipline, being carried forward in a form of mathematical abstraction, into the mathematical tool you are using.

It's good to know basics such as st deviation, p value, mean median mode a little bit as a researcher.

But for integration of data you've statisticians.

It's not difficult.

Realistically, you can't be an expert in every aspect of your reserarch, but try to know enough to know your own limitations and get help to go beyond.

I would advise the physiologist to try looking at science as a whole, and look at the statistics applicable to the problem as an integral part of the research problem itself, statistics is about drawing meaningful insights, if there are any, from a body of data, the tools which make that possible have firm mathematical and sometimes, very simple geometrical foundations, in my opinion, you can attain a good understanding of the statistical tools you are using if you can develop an intitutive understanding of the geometrical framework associated with the statistical tool, you will find in many cases, some ideas of your own subject discipline, being carried forward in a form of mathematical abstraction, into the mathematical tool you are using.