DA0-002 Data Acquisition and Preparation Practice Question
An analyst is sampling a large customer database to estimate the average purchase amount. To ensure that the sample proportionally represents different customer segments (e.g., age groups), 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 (e.g., age groups) and samples proportionally from each stratum.
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
Systematic sampling selects every nth element, which may miss some subgroups.
- ✗
Simple random sampling
Why it's wrong here
Simple random sampling does not guarantee proportional representation of subgroups.
- ✗
Cluster sampling
Why it's wrong here
Cluster sampling selects entire clusters, which may not represent all subgroups proportionally.
- ✓
Stratified sampling
Why this is correct
Stratified sampling ensures proportional representation from each stratum.
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