The population of a town is divided into three age categories. A random sample of each category is surveyed about voting choices. This type of sampling is called

stratified sampling.

This type of sampling is called stratified sampling.

Explanation: In stratified sampling, the population is divided into distinct groups, or strata, based on certain characteristics (in this case, age categories). Then, a random sample is taken from each stratum, ensuring representation from every category. This allows for more accurate and representative results, as it takes into account the variation between different groups within the population.

cluster of sampling