DA0-002 Visualization and Reporting Practice Question
When communicating uncertainty in a report, which of the following is the most appropriate way to convey the reliability of a survey result showing 75% customer satisfaction?
⚠ Common exam trap
DA0-002 often tests the misconception that a margin of error alone conveys reliability, when the confidence level and interval bounds are needed for a complete statement of uncertainty.
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
✓
"We are 95% confident that the true satisfaction rate is between 72% and 78%."
A confidence interval communicates both the point estimate and the uncertainty around it. Stating '95% confident the true rate is between 72% and 78%' gives the reader the estimate (75%), the precision (the interval width), and the confidence level, which is the most complete and honest way to convey reliability. The other options either omit the uncertainty or state it incompletely.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
"The satisfaction rate might be lower or higher."
Why it's wrong here
Stating the rate might be lower or higher gives no quantified range, so readers cannot judge reliability; a confidence interval or margin of error is required. It tempts because hedging language sounds cautious, and it would suit a qualitative caveat where no statistical estimate exists.
- ✗
"75% of customers are satisfied."
Why it's wrong here
No expression of uncertainty; implies perfect precision.
- ✓
"We are 95% confident that the true satisfaction rate is between 72% and 78%."
Why this is correct
A confidence interval quantifies sampling uncertainty, directly satisfying the stem's demand to convey reliability. Stating 95% confidence that the true rate lies between 72% and 78% gives the audience a precise, bounded estimate rather than a bare point figure, which would overstate certainty.
- ✗
"The margin of error is 3%."
Why it's wrong here
A margin of error quantifies sampling variability around an estimate, but stating it alone omits the confidence level that gives it meaning; 3% at 95% confidence differs from 3% at 90%. It is tempting because it is the standard statistical companion to a point estimate, and would be correct if paired with its confidence level.
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Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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