Which of the following data sampling methods involves dividing a population into subgroups by similar characteristics?

Which of the following data sampling methods involves dividing a population into subgroups by similar characteristics?
A . Systematic
B . Simple random
C . Convenience
D . Stratified

View Answer

Answer: D

Explanation:

Stratified sampling is a data sampling method that involves dividing a population into subgroups by similar characteristics, such as age, gender, income, etc. Then, a simple random sample is drawn from each subgroup. This method ensures that each subgroup is adequately represented in the sample and reduces the sampling error.

Reference: CompTIA Data+ Certification Exam Objectives, page 11.