systematic sampling

Systematic sampling is a method used in statistics to select a representative sample from a larger population. Instead of choosing individuals randomly, systematic sampling involves selecting every nth member from an ordered list. For example, if a researcher wants to survey every 10th person on a list of 100 individuals, they would select the 10th, 20th, 30th, and so on, up to the 100th person. This method is a refinement of simple random sampling and is often used for its practicality and efficiency when dealing with large datasets or when a complete list of the population is available. It's important to ensure the list is not inherently biased, as this could affect the representativeness of the sample.12