DA0-002 Quantitative data Practice Question
Which TWO data types are considered quantitative? (Select two.)
⚠ Common exam trap
The trap here is that candidates often mistake ordinal data (like ratings) for quantitative because numbers are involved, or mistake numeric-looking identifiers (like zip codes or employee IDs) for quantitative data, failing to recognize that ordinal and nominal variables are categorical.
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
✓
Customer satisfaction rating (1-5)
Temperature in Celsius is quantitative because it is a continuous numerical measurement on an interval scale, allowing for meaningful arithmetic operations. Customer satisfaction rating (1-5) is also quantitative because the numbers represent a measurable quantity (level of satisfaction) that can be averaged and compared, often treated as interval data in business analytics. The other options are categorical: Product color is nominal, Zip code and Employee ID are nominal identifiers.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Customer satisfaction rating (1-5)
Why this is correct
Customer satisfaction rating (1-5) is ordinal data; it represents ordered categories, not quantitative measurements. While numbers are used, they do not have consistent intervals and are not suitable for arithmetic operations, so this is qualitative.
- ✓
Temperature in Celsius
Why this is correct
Temperature in Celsius is quantitative. It is a continuous interval-scale measurement that supports meaningful arithmetic comparisons like differences and averages.
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Product color
Why it's wrong here
Incorrect. Product color is a categorical (qualitative) variable.
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Zip code
Why it's wrong here
Incorrect. Zip code is a nominal identifier, not quantitative.
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Employee ID
Why it's wrong here
Incorrect. Employee ID is a nominal identifier, not quantitative.
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