kmf229

Simple Random - Every object has equal chance of being selected from a population

Cluster - "Break" population into group (cluster) and randomly sample n groups. (Mostly use when geographic coverage is huge because the cost of traveling to all group is high).

Stratified - Classify population according to certain characteristics (e.g. Gender, Age etc). Next, randomly select objects from each classification. Group all the objects into a final sample.