Statistics: Types of Sampling Methods

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Questions and Answers

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

  • Systematic sampling
  • Quota sampling (correct)
  • Stratified sampling
  • Simple random sampling

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

  • Cluster sampling
  • Snowball sampling
  • Simple random sampling (correct)
  • Convenience sampling

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

  • Systematic sampling (correct)
  • Quota sampling
  • Cluster sampling
  • Stratified sampling

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

<p>Snowball sampling (A)</p> Signup and view all the answers

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

<p>Stratified sampling (D)</p> Signup and view all the answers

Flashcards

Quota sampling

A non-probability sampling method where the population is divided into relevant subgroups, and a set number of people are chosen from each subgroup.

Simple random sampling

Each member of the population has an equal chance of being selected.

Systematic sampling

Selecting units from a population at regular intervals, such as every nth member.

Snowball sampling

Used to study hidden populations by asking initial subjects to refer others they know who qualify.

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Stratified sampling

The population is divided into subgroups (strata) before sampling to ensure representation from each group.

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Study Notes

Types of Sampling

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

Non-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.

Probability Sampling

  • 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.

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