Data can be divided into nonoverlapping age categories to make demographic inferences about segments of the population who are at different stages of life.What is this type of analysis called?

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This type of analysis is known as cross-sectional analysis, where data is collected at a single point in time and then divided into different categories to analyze demographic patterns. Latitudinal and longitudinal analyses refer to the study of changes over time, while stratified random sampling is a method of selecting a representative sample from a larger population.

Data Can Be Divided into Nonoverlapping Age Categories to Make