Interval sampling is a method used in statistics and research to collect data at regular, predetermined intervals. Instead of measuring every single instance, researchers select specific points in time or space to gather information, which can help reduce the amount of data collected while still providing a representative sample. This technique is often used in fields like environmental monitoring and market research. By focusing on intervals, researchers can efficiently analyze trends and patterns without overwhelming amounts of data. For example, in a time series analysis, data might be collected every hour, day, or week, allowing for easier interpretation and decision-making based on the sampled information.