Systematic sampling
sampling">Systematic sampling is a method used to select a sample from a larger population in an organized way. Instead of choosing individuals at random, you start at a random point and then select every nth person from a list. For example, if you want to sample 10 people from a list of 100, you might randomly choose a starting point and then pick every 10th person from there. This approach can help ensure the sample is evenly spread out across the population, making it easier to analyze results while saving time compared to random sampling.
Additional Insights
-
Systematic sampling is a method used to select a representative sample from a larger population. Instead of randomly choosing individuals, you take every nth person from an ordered list. For example, if you want to survey 100 people from a group of 1,000, you could select every 10th person. This approach ensures a more even spread across the population while still being relatively simple to execute. It is often used when researchers want a quick, efficient way to gather data while maintaining a level of randomness in their sample selection.