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.