May 1, 2024
Updated May 10, 2025
22 minute read
At its core, sampling is the process of selecting a representative subset of individuals or items from a larger group, known as the population. Imagine you want to know the favorite ice cream flavor of everyone in your city. It would be nearly impossible, or at least very time-consuming and expensive, to ask every single person. Instead, you could ask a smaller, carefully chosen group of people and use their answers to get a good idea of what the entire city prefers. This is the essence of sampling: learning about the whole by studying a part. The primary goal is to gather information from this smaller group, or sample, that allows us to make informed judgments or inferences about the entire population. For this to work, the sample must be representative, meaning it accurately reflects the characteristics of the larger group.
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Reading list
We've selected three books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Sampling Methods.
Provides a comprehensive overview of sampling methods, covering both the theoretical foundations and practical applications. It is suitable for students and researchers in statistics, survey research, and other fields that require sampling.
Focuses on the application of sampling methods in survey research. It provides a step-by-step guide to designing and implementing sampling plans.
Provides an overview of sampling methods in Spanish. It covers the basic concepts of sampling and provides examples of how sampling is used in practice.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/j0dip3/sampling
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