Systematic Sampling is a method used in statistics to select a sample from a larger population. Instead of choosing individuals randomly, researchers select every nth person from a list. For example, if you have a list of 100 people and want a sample of 10, you might choose every 10th person, starting from a random point. This approach ensures that the sample is spread evenly across the population. This technique is often easier and faster than other sampling methods, especially when dealing with large groups. However, it’s important to ensure that the list is not arranged in a way that could bias the results, as this could affect the validity of the findings.