Statistics: Types of Sampling Methods

Which of the following is a type of non-probability sampling?

Which sampling method is used when every member of the population has an equal chance of being selected?

Which type of sampling involves selecting units from a population at regular intervals?

Which type of sampling is typically used to study hidden or hard-to-reach populations?

Which of the following sampling methods divides the population into subgroups before sampling?

There are two main categories of sampling methods used in statistics: Non-Probability Sampling and Probability Sampling.

Snowball sampling is a method where existing study subjects refer others to participate in the study.
Convenience sampling involves selecting participants based on their availability and proximity to the researcher.
Quota sampling involves dividing the population into subgroups and selecting participants based on predetermined characteristics.

Simple random sampling involves randomly selecting participants from the population using a randomization process.
Systematic sampling involves selecting every nth individual from a list or population.
Stratified sampling involves dividing the population into subgroups and randomly selecting participants from each subgroup.
Cluster sampling involves dividing the population into smaller groups or clusters and randomly selecting participants from each cluster.