The document discusses different sampling methods:
1) Convenience sampling selects population elements based on the researcher's judgement of what is representative.
2) Cluster random sampling divides the population into mutually exclusive clusters, randomly selects clusters, and then selects elements from the chosen clusters either all or through further probabilistic sampling.
3) An example is provided of how to conduct cluster random sampling by dividing a population map into clusters, assigning random numbers, selecting clusters based on rules like being divisible by 4, and repeating to get desired number of sub-clusters.