Stats Sampling

Simple Random Sampling

Everyone/thing has an equal chance of being selected. Conducted via random number generator. Exhibits little to no bias.

Stratified Random Sampling

Population is divided into groups where individuals are similar to each other. Individuals are subsequently randomly selected via random number generator, and then and the combination of selected individuals form the sample.

Cluster Sampling

Individuals are sorted into groups (clusters) based off of their locations. Some clusters are then randomly selected, and all individuals within selected clusters are include in the sample.

Systemic Random Sampling

Population is ordered, and then one of the first k individuals is randomly selected. Every k individual is chosen afterwards.