Answer: Stratified sampling
Step-by-step explanation:
Stratified sampling is a random sampling method in which the population is divided into non-coinciding groups are called strata and a sample is picked out by some design within each stratum.
Given: A researcher wants to survey people from different age groups to analyze voting patterns.
Thus he will make different groups according to different ages to analyze voting patterns that are called stratum.
Thus, Stratified sampling best accomplish this goal.
This is an example of stratified sampling because here the samples are divided into different age groups. A stratified sampling is a better way of sampling as it provides a greater precision of results out of a small sample size. This method is also economic as it operates on less samples.
Hence, stratified sampling is the correct answer.
