Random sampling
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What does it mean?
In simple random sampling without replacement, every possible sample of a given size has the same probability of selection. Consequently, each population member also has the same probability of inclusion. This requires a valid sampling frame and a genuinely random selection process.
Think through an example.
An everyday example
Using a random number generator to choose 200 distinct employees from an up-to-date list of 2,000 employees is an example.
Test your understanding.
True or false?
Letting anyone volunteer for a survey creates a random sample.
Make the next connection
Explore related concepts to deepen your understanding.
Sources and further reading
Explore the foundations and methodological details in these resources. Examples on this page were created for illustration.
- Penn State Source in EnglishEstimating Population Mean and Total under SRS