SAMPLING TECHNIQUES MULTIPLE CHOICE

Multistage Sampling

Combines several sampling methods in stages (e.g., first select clusters, then use SRS within those clusters).

Systematic Sampling

Select every k-th individual from a list or sequence after choosing a random starting point.

Simple Random Sampling (SRS)

Every individual has an equal chance of being selected. Selection is completely random, often using random number generators.

Convenience Sampling

Samples are taken from individuals who are easiest to reach. Quick and inexpensive, but prone to bias.

Cluster Sampling

Population is divided into clusters (often naturally occurring groups). Entire clusters are randomly selected, and all individuals within chosen clusters are studied.

Stratified Sampling.

Population is divided into subgroups (strata) based on shared characteristics, and random samples are taken from each stratum proportionally.