unidentifed out of those two, it would be stratified sampling because it involves dividing individuals of a population into different 'strata' (groups) and then selecting individuals (to form a sample) from these groups in the direct proportion that they in the population.
whereas in random sampling there is still the opportunity that the sample is not representative, bc it's 'random', and there could be an increase in a specific characteristic purely by chance. (e.g more females than males despite the population having more males- u know?)
hopefully, this makes sense 😄
