Systematic sampling is a form of probability sampling in which individuals of a bigger population are chosen at random from a larger population but at a defined, periodic interval. This interval, also known as the sampling interval, is computed by dividing the population size by the sample size requested. Despite the fact that the sample population is chosen in advance, systematic sampling is still considered random if the periodic interval is set in advance and the starting point is chosen at random.