SAMPLING

Sampling is a technique used in statistics to select a subset of individuals or observations from a larger population. By analyzing a representative sample, we can estimate population parameters, test hypotheses, and make predictions

What is sampling?

Sampling is the process of selecting a subset of a population to make inferences about the whole. Learn the key concepts, types and potential pitfalls.

Simple random sampling

This sampling method ensures each member of a population has an equal chance of being chosen, making the sample representative of the population

Systematic sampling

Learn about systematic sampling, a straightforward and efficient sampling method used in statistics.

Stratified sampling

Learn about stratified sampling, a sampling method that ensures all subgroups within a population are represented.

Cluster sampling

Discover how cluster sampling works and its applications in research involving large and diverse populations.

Polyetapic sampling

Learn how multistage (polyetapic) sampling works, how to compute selection probabilities across stages, and when it is the right design for large-scale surveys.