With random sampling and a small sample size (such
as 10), the composition of the sample is often very different
from that of the population. This does not invalidate the use
of random sampling because the mathematical models underlying
statistical procedures take the randomness into account.
Stratified sampling, by definition, assures that the composition
of the sample matches the population on the variables for which
it has been stratified.