DA0-002 Data Concepts and Environments Practice Question
A dataset contains a column 'Education Level' with values: 'High School', 'Bachelor', 'Master', 'PhD'. An analyst computes the average by assigning numbers 1-4. Which data concept is being violated?
⚠ Common exam trap
CompTIA often tests the distinction between ordinal and interval scales by presenting a scenario where a mean is computed on ranked categories, tempting candidates to think the error is about nominal vs. ordinal (Option C) rather than the misuse of arithmetic operations on ordinal data.
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
✓
Treating ordinal data as interval
The analyst assigned numeric values (1-4) to 'Education Level' categories and computed an average. This treats the ordinal data as if it were interval data, assuming equal spacing between categories (e.g., the difference between 'High School' and 'Bachelor' is the same as between 'Master' and 'PhD'), which is not valid. Ordinal data only preserves order, not magnitude or equal intervals, so calculating a mean is inappropriate.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Misclassifying data as structured
Why it's wrong here
The data structure is not the issue.
- ✓
Treating ordinal data as interval
Why this is correct
Assigning numbers and averaging assumes equal intervals, which ordinal data lacks.
- ✗
Treating nominal data as ordinal
Why it's wrong here
Education level is ordinal, not nominal; the order is recognized.
- ✗
Treating ratio data as interval
Why it's wrong here
Here, ordinal is being treated as interval, not ratio.
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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.