Final answer:
In systematic sample selection, the population size is divided by the number of sample items desired in order to determine the sampling interval.
Step-by-step explanation:
In systematic sample selection, the population size is divided by the number of sample items desired in order to determine the sampling interval. The sampling interval is the number of items that need to be skipped between each selected item. This ensures that the sample is evenly distributed throughout the population. For example, if a population has 1000 individuals and we want a sample of 100, the sampling interval would be 1000/100 = 10. We would then choose every 10th individual in the population to be part of the sample.