I think it's a fair question to ask. Even the study of approximations like

is still about precision, because you can precisely show that the approximation can be as good as you want it to be i.e for any
|<\epsilon)
for some large enough

.
I guess his question is really akin to "what is normal distribution, is the definition of it at all tied to binomial? maybe do another

argument to see if it is at all related to binomial?"
To be honest I don't know what the answer to that question is because statistics just sounds so boring and I've paid no attention to it at all. Maybe it will satisfy a bit of curiosity though

edit: I guess I just have a vague notion that any continous probability really just comes from discrete probability (u know, that histogram diagram, or that fun breaking the stick into three pieces question (from SUPER-HAPPY-FUN-MATHS time, didn't even use calculus there and just took the limit of a discrete case). It would seem very unnatural that some random function would fit something so natural like binomial, so it was probably made from the binomial, a bit of google found this:
"de Moivre developed the normal distribution as an approximation to the binomial distribution,"
http://mathworld.wolfram.com/NormalDistribution.html