DA0-002 Data Concepts and Environments Practice Question
A marketing analyst receives a dataset containing customer ages recorded as whole numbers (for example, 25, 42, 67). The analyst wants to classify the measurement scale of the age field. Which measurement scale applies?
⚠ Common exam trap
Many candidates confuse interval and ratio scales by overlooking the presence of a true zero, which is what elevates age from interval to ratio.
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
✓
Ratio
Age in years possesses a true zero, equal intervals between consecutive values, and supports meaningful arithmetic and ratios. These are the defining properties of the ratio scale. Nominal and ordinal scales lack the numeric structure required, while interval scales lack a true zero, so ratio is the appropriate classification.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Ordinal
Why it's wrong here
Ordinal scales rank data but do not guarantee equal intervals between ranks, such as customer satisfaction levels. Age has equal intervals between consecutive years and a true zero point, which ordinal scales lack. Treating age as ordinal would prevent meaningful arithmetic operations like computing the mean age.
- ✗
Interval
Why it's wrong here
Interval scales have equal intervals but no true zero, such as temperature in Celsius. Age has a meaningful zero point representing birth, so it exceeds the interval scale. Classifying age as interval would incorrectly imply that zero age is arbitrary and that ratios of ages are meaningless.
- ✓
Ratio
Why this is correct
Age measured in years has a true zero point (birth) and equal intervals between values, enabling meaningful ratios and arithmetic. These properties define the ratio scale. The analyst can compute averages, differences, and ratios such as one customer being twice as old as another, making ratio the correct classification.
- ✗
Nominal
Why it's wrong here
Nominal scales classify data into categories with no inherent order, such as eye color or country. Age values have a meaningful order and measurable differences, so nominal classification would discard essential information. Labeling age as nominal would prevent calculations like average age, making it incorrect for this scenario.
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Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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