Sampling terms

Inference statistics

Simple random Sampling

Each member of the population has the same chance of being selected, as the selection is completely random.

Stratified sampling

Where a population is divided due to clear characteristics and samples are taken from these varied groups (sometimes to include minorities).

Cluster Sampling

Members of a population are assigned to only one group or cluster. Then, samples of clusters are chosen using random sampled clusters and individuals are surveyed inside these clusters. No causes for bias are permitted.

Systematic random sampling

Randomly choose a starting place, then choose every nth item (eg 19th item) until you have a complete sample list of data.

Convenience sample

Made up of easy to reach individuals

Self selected samples

People who self select into the survey