Quick Answer
The correct answer is to explain the margin of error and confidence interval used. This directly addresses stakeholder concerns about small sample size by translating statistical validity into clear, actionable terms. When an analyst knows the sample is statistically significant, citing the margin of error shows the precision of the estimate, while the confidence interval demonstrates the range within which the true population parameter lies, proving the sample size is adequate for the desired level of confidence. On the CompTIA Data+ DA0-001 exam, this scenario tests your ability to communicate technical findings to non-technical stakeholders, a key skill in data presentation. A common trap is to simply assert the sample is "statistically significant" without explanation, which can appear dismissive. Instead, always anchor your response in the confidence interval and margin of error to build trust. Memory tip: think "C.I.M.E." — Confidence Interval and Margin of Error — to recall the two pillars that validate sample size concerns.
This DA0-001 practice question tests your understanding of communicating data insights. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
During a presentation, a stakeholder questions the validity of a data insight because the sample size appears small. The analyst knows the sample is statistically significant. What is the best way to address this concern?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Ignore the question and continue the presentation.
Why wrong: Ignoring questions is unprofessional.
Explain the margin of error and confidence interval used.
This provides statistical context to reassure the stakeholder.
Ask the stakeholder to trust the analysis and move on.
Why wrong: Dismissing concerns can erode trust.
Agree to collect more data before finalizing the report.
Why wrong: This may delay the project unnecessarily.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Explain the margin of error and confidence interval used.
Option B is correct because it directly addresses the stakeholder's concern by explaining the statistical concepts of margin of error and confidence interval, which demonstrate that the sample size is sufficient for the desired level of precision. This approach validates the data insight's reliability without dismissing the stakeholder's valid question, aligning with best practices in communicating data insights.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Ignore the question and continue the presentation.
Why it's wrong here
Ignoring questions is unprofessional.
Explain the margin of error and confidence interval used.
Why this is correct
This provides statistical context to reassure the stakeholder.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Ask the stakeholder to trust the analysis and move on.
Why it's wrong here
Dismissing concerns can erode trust.
Agree to collect more data before finalizing the report.
Why it's wrong here
This may delay the project unnecessarily.
Common exam traps
The trap here is that candidates may assume a small sample size is always invalid, but the DA0-001 exam tests understanding that statistical significance depends on the margin of error and confidence interval, not just sample size alone.
Detailed technical explanation
Statistical significance is determined by the confidence interval and margin of error, which are calculated based on sample size, variability, and desired confidence level (e.g., 95%). For a given population, a smaller sample can still yield a narrow margin of error if variability is low, making the insight valid. In practice, analysts often use power analysis to pre-determine the minimum sample size needed to detect an effect, ensuring that even 'small' samples can be sufficient for specific hypotheses.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A practitioner preparing for the DA0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Communicating Data Insights — study guide chapter
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FAQ
Communicating Data Insights — This question tests Communicating Data Insights — Read the scenario before looking for a memorised answer..
The correct answer is: Explain the margin of error and confidence interval used. — Option B is correct because it directly addresses the stakeholder's concern by explaining the statistical concepts of margin of error and confidence interval, which demonstrate that the sample size is sufficient for the desired level of precision. This approach validates the data insight's reliability without dismissing the stakeholder's valid question, aligning with best practices in communicating data insights.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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