A data analyst wants to find out how many middle school students in Helsinki have laptops. It is unlikely that they can survey every middle schooler in the city. Instead, they survey enough students to represent all middle schoolers. This describes what data analytics concept?

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Sampling involves selecting a subset of individuals from a population to estimate characteristics of the whole population. In this case, surveying every middle school student in Helsinki isn’t practical, so the analyst surveys enough students to represent all middle schoolers. That use of a subset to infer about the entire group is exactly using a sample. A census would mean collecting data from every student, which isn’t happening here. A stratified sampling would require dividing students into specific groups and sampling within each, which isn’t described. A convenience sample would rely on easily accessible students and may not represent the whole population, which isn’t the goal stated here.