DA0-002 Data Acquisition and Preparation Practice Question
A data analyst needs to sample 10% of customers from each of three regions (North, South, Central) to ensure proportional representation. Which sampling method should be used?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Stratified sampling
Stratified sampling divides the population into strata (regions) and samples proportionally from each. Simple random sampling would not guarantee proportional representation. Systematic sampling selects every kth element. Cluster sampling selects entire groups randomly.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Systematic sampling
Why it's wrong here
Selects every nth customer, may not reflect regional proportions.
- ✗
Cluster sampling
Why it's wrong here
Selects entire regions randomly, not proportionate sampling within each.
- ✓
Stratified sampling
Why this is correct
Ensures each region is represented proportionally.
- ✗
Simple random sampling
Why it's wrong here
Does not ensure proportional representation from each region.
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