Match each data sampling method to its description.
Drag a concept onto its matching description — or click a concept then click the description.
Each member has equal chance of selection
Population divided into subgroups; random sample from each
Randomly select entire groups (clusters)
Select every k-th element from a list
Sample based on ease of access
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Simple Random Sampling: Every member of the population has an equal chance of being selected.
In matching, ensure you distinguish between methods: simple random gives equal chance; stratified divides by characteristic; cluster divides into groups and picks whole groups; systematic uses a fixed interval.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Simple Random Sampling: Every member of the population has an equal chance of being selected.
Why this is correct
This correctly defines simple random sampling, where each individual is selected entirely by chance.
Stratified Sampling: Population is divided into subgroups based on a characteristic, and random samples are drawn from each subgroup.
Why this is correct
This correctly describes stratified sampling, ensuring representation from each stratum.
Cluster Sampling: Population is divided into clusters, and entire clusters are randomly selected.
Why this is correct
This correctly defines cluster sampling, often used for geographic groupings.
Systematic Sampling: Every kth member is selected from a list after a random start.
Why this is correct
This correctly describes systematic sampling, which is easy to implement.
Simple Random Sampling: Population is divided into clusters, and entire clusters are randomly selected.
Why it's wrong here
Incorrect — this definition describes cluster sampling, not simple random sampling.
Stratified Sampling: Every kth member is selected from a list after a random start.
Why it's wrong here
Incorrect — this definition describes systematic sampling, not stratified sampling.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DA0-002 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-002 exam.