Types of Sampling in Statistics

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Questions and Answers

Which of the following is a type of Non-Probability Sampling?

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

Which sampling method is classified under Probability Sampling?

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

What type of sampling does Systematic Sampling belong to?

  • Probability Sampling (correct)
  • Non-Probability Sampling
  • Quota Sampling
  • Convenience Sampling

Which sampling method involves dividing the population into subgroups and then taking a sample from each subgroup?

<p>Stratified Sampling (A)</p> Signup and view all the answers

Quota Sampling is an example of which type of sampling?

<p>Non-Probability Sampling (D)</p> Signup and view all the answers

Which sampling method is NOT classified as Probability Sampling?

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

Which method is used for selecting samples based on ease of access?

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

Which sampling method involves selecting elements at regular intervals from an ordered list?

<p>Systematic sampling (C)</p> Signup and view all the answers

Which of the following sampling methods is typically used when the entire population is divided into naturally occurring groups?

<p>Cluster sampling (C)</p> Signup and view all the answers

Which sampling method involves identifying and selecting individuals who are most easily accessible?

<p>Convenience sampling (B)</p> Signup and view all the answers

Which sampling method typically requires referrals from initial subjects to recruit additional participants?

<p>Snowball Sampling (C)</p> Signup and view all the answers

Which sampling method is often used when the entire population is divided into naturally occurring groups?

<p>Cluster Sampling (D)</p> Signup and view all the answers

Which sampling method selects elements at regular intervals from an ordered list?

<p>Systematic Sampling (C)</p> Signup and view all the answers

Which method involves dividing the population into subgroups and then taking a sample from each subgroup?

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

Which non-probability sampling method involves selecting participants who are most readily available?

<p>Convenience Sampling (C)</p> Signup and view all the answers

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Study Notes

Types of Sampling

  • Sampling methods are used in statistics to select a subset of data from a larger population.

Non-Probability Sampling

  • Snowball sampling: a method where existing participants recruit future participants, often used when the population is hard to reach.
  • Convenience sampling: a method where participants are chosen based on their availability and ease of access.
  • Quota sampling: a method where participants are selected based on predetermined characteristics, such as age, gender, or occupation.

Probability Sampling

  • Simple random sampling: a method where every member of the population has an equal chance of being selected.
  • Systematic sampling: a method where every nth member of the population is selected.
  • Stratified sampling: a method where the population is divided into subgroups and a random sample is selected from each subgroup.
  • Cluster sampling: a method where the population is divided into groups and a random sample of groups is selected.

Types of Sampling

  • Sampling methods are used in statistics to select a subset of data from a larger population.

Non-Probability Sampling

  • Snowball sampling: a method where existing participants recruit future participants, often used when the population is hard to reach.
  • Convenience sampling: a method where participants are chosen based on their availability and ease of access.
  • Quota sampling: a method where participants are selected based on predetermined characteristics, such as age, gender, or occupation.

Probability Sampling

  • Simple random sampling: a method where every member of the population has an equal chance of being selected.
  • Systematic sampling: a method where every nth member of the population is selected.
  • Stratified sampling: a method where the population is divided into subgroups and a random sample is selected from each subgroup.
  • Cluster sampling: a method where the population is divided into groups and a random sample of groups is selected.

Types of Sampling

  • Sampling methods are used in statistics to select a subset of data from a larger population.

Non-Probability Sampling

  • Snowball sampling: a method where existing participants recruit future participants, often used when the population is hard to reach.
  • Convenience sampling: a method where participants are chosen based on their availability and ease of access.
  • Quota sampling: a method where participants are selected based on predetermined characteristics, such as age, gender, or occupation.

Probability Sampling

  • Simple random sampling: a method where every member of the population has an equal chance of being selected.
  • Systematic sampling: a method where every nth member of the population is selected.
  • Stratified sampling: a method where the population is divided into subgroups and a random sample is selected from each subgroup.
  • Cluster sampling: a method where the population is divided into groups and a random sample of groups is selected.

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