DA0-002 Data Concepts and Environments Practice Question
Which TWO of the following are examples of quantitative data? (Choose TWO.)
⚠ Common exam trap
A common mix-up: candidates confuse ordinal data (like customer satisfaction ratings) with quantitative data because the categories have an order, but they are still qualitative since the values are not numeric measurements.
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
✓
Age in years
Age in years is a numerical measurement that can be counted or measured on a ratio scale, making it quantitative data. Quantitative data represents quantities that can be expressed numerically and subjected to mathematical operations, such as calculating the average age of a group.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Product color
Why it's wrong here
Color is a category, not numeric.
- ✓
Age in years
Why this is correct
Age is a numeric, quantitative variable.
- ✗
Customer satisfaction rating (Poor, Fair, Good)
Why it's wrong here
Ordinal categorical, not numeric.
- ✗
Country of origin
Why it's wrong here
Country is a categorical, qualitative variable.
- ✓
Shoe size
Why this is correct
Shoe size is numeric (though sometimes treated as ordinal, it is quantitative).
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JA
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.