Answer:
(a)(b) and (c)
Explanation:
Stratified random sampling involves dividing the entire population into homogeneous groups called strata. Stratified random sampling differs from simple random sampling, which involves the random selection of data from an entire population, so each possible sample is equally likely to occur.