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Types of Sampling in Statistics

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Questions and Answers

Which type of sampling is used when the researcher has control over the selection of participants?

Probability Sampling (correct)

Quota Sampling

Convenience Sampling

Non-Probability Sampling

What is the main difference between Stratified Sampling and Cluster Sampling?

Stratified sampling is used for quantitative research, while cluster sampling is used for qualitative research

Stratified sampling divides the population into subgroups, while cluster sampling selects groups as a whole (correct)

Stratified sampling is used for small populations, while cluster sampling is used for large populations

Stratified sampling is used for heterogeneous populations, while cluster sampling is used for homogeneous populations

Which type of sampling is used when the selection of participants is based on ease of access?

Systematic Sampling

Simple Random Sampling

Convenience Sampling (correct)

Quota Sampling

What is the purpose of Quota Sampling?

<p>To ensure that certain subgroups are represented in the sample (D)</p> Signup and view all the answers

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

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

Study Notes

Types of Sampling

There are two main categories of sampling techniques: Non-Probability Sampling and Probability Sampling

Non-Probability Sampling

Convenience Sampling: a type of sampling where participants are selected based on convenience, such as proximity or accessibility
Quota Sampling: a type of sampling where participants are selected based on predefined quotas, such as age, gender, or occupation

Probability Sampling

Simple Random Sampling: a type of sampling where every member of the population has an equal chance of being selected
Systematic Sampling: a type of sampling where participants are selected at regular intervals, such as every 10th person on a list
Stratified Sampling: a type of sampling where the population is divided into subgroups, and participants are selected from each subgroup
Cluster Sampling: a type of sampling where groups or clusters of participants are selected, rather than individual participants

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Description

Test your knowledge of different sampling methods in statistics, including non-probability and probability sampling techniques. Identify and differentiate between various types of sampling, such as convenience, quota, simple random, systematic, stratified, and cluster sampling.