Cluster Random Samples: Definition, Selection & Examples

Instructions:

Choose an answer and hit 'next'. You will receive your score and answers at the end.

question 1 of 3

_____ is a sampling method where different groups within a population are used as a sample.

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1. Which is a sampling method that involves separating the population into clusters, and then selecting random samples from each of the clusters?

2. How do cluster sampling and stratified random sampling differ?

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About This Quiz & Worksheet

Cluster random sampling is one of many methods used to gain information about a population. With this quiz and worksheet, you'll be asked to differentiate cluster sampling from other methods and to identify when two-way sampling is preferable with this quiz and worksheet.

Quiz & Worksheet Goals

These tools will assess your knowledge of the following:

  • How cluster random sampling differs from stratified random sampling
  • Term for members belonging to multiple groups in the population
  • When to use cluster sampling

Skills Practiced

You will practice the following skills with this lesson:

  • Making connections - use understanding of the concept of cluster sampling
  • Critical thinking - apply relevant concepts to examine information about population sampling in a different light
  • Distinguishing differences - compare and contrast topics from the lesson, such as cluster sampling and stratified sampling

Additional Learning

Further explore this topic with the related lesson titled Cluster Random Samples: Definition, Selection & Examples. After studying the lesson, you will be able to:

  • Explain the pros and cons of a cluster random sample
  • Design a rudimentary cluster random sampling of a population
  • Identify situations in which a two-way cluster sampling may be required
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