Probability sampling is based on the concept of random selection-a controlled procedure that assures that each population element is given a known nonzero chance of selection.
This section is devoted to the study of a few probability sampling designs, which are frequently used in sample selection. These include, among others, the following:
- Simple random sampling: Simple random sampling is a procedure that gives each of the sampling units in the population an equal and known nonzero probability of being selected.
- Systematic sampling: Systematic sampling is a type of probability sampling method involving the selection of elements from an ordered sampling frame.
- Stratified random sampling: A restricted sampling design, which can be more efficient than simple random sampling, is stratified random sampling.
- Cluster sampling: Cluster sampling is a probability sampling technique where the population is divided into multiple groups or clusters.