Quick Answer
The independent samples t-test is the correct choice because the scenario involves comparing the mean sales of two separate, unrelated regions where the data is normally distributed. This test is specifically designed to determine whether the observed difference between two independent group means is statistically significant, rather than due to random chance. On the CompTIA Data+ DA0-001 exam, this question tests your ability to match the correct parametric test to a given business scenario, often with distractors like the paired t-test or ANOVA. A common trap is confusing independent samples with paired or dependent data—remember, if the groups are separate and not matched, it is independent. For a quick memory tip, think “two separate groups, one t-test” to recall that the independent samples t-test compares means from two unrelated populations.
This DA0-001 practice question tests your understanding of analyzing and modeling data. 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.
A data analyst needs to determine whether the mean sales of two different regions are significantly different. The samples are independent and the data is normally distributed. Which statistical test should be used?
Chi-square test for independence
Why wrong: Chi-square is for categorical variables, not continuous means.
ANOVA
Why wrong: ANOVA is for comparing three or more groups.
Independent samples t-test
This test compares means of two independent groups with normal distribution.
Paired t-test
Why wrong: Paired t-test is for dependent samples, not independent regions.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Independent samples t-test
The independent samples t-test is the correct choice because the scenario involves comparing the means of two independent groups (two different regions) with normally distributed data. This test specifically assesses whether the difference between the two sample means is statistically significant, assuming equal or unequal variances as determined by Levene's test.
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.
Chi-square test for independence
Why it's wrong here
Chi-square is for categorical variables, not continuous means.
ANOVA
Why it's wrong here
ANOVA is for comparing three or more groups.
Independent samples t-test
Why this is correct
This test compares means of two independent groups with normal distribution.
Related concept
Read the scenario before looking for a memorised answer.
Paired t-test
Why it's wrong here
Paired t-test is for dependent samples, not independent regions.
Common exam traps
CompTIA often tests the distinction between independent and paired t-tests, trapping candidates who overlook the 'independent samples' condition and mistakenly choose the paired t-test for any two-group comparison.
Detailed technical explanation
The independent samples t-test calculates a t-statistic based on the difference between group means divided by the standard error of that difference, with degrees of freedom adjusted for sample sizes and variance homogeneity. In practice, a data analyst should first check the assumption of normality (e.g., using a Shapiro-Wilk test) and homogeneity of variances (e.g., using Levene's test) to decide whether to use the standard t-test or Welch's t-test, which does not assume equal variances.
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.
Analyzing and Modeling Data — study guide chapter
Learn the concepts, then practise the questions
Analyzing and Modeling Data practice questions
Targeted practice on this topic area only
All DA0-001 questions
509 questions across all exam domains
CompTIA Data+ DA0-001 study guide
Full concept coverage aligned to exam objectives
DA0-001 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise DA0-001 questions linked to Comparing and Contrasting Data Concepts.
Practise DA0-001 questions linked to Mining and Acquiring Data.
Practise DA0-001 questions linked to Analyzing and Modeling Data.
Practise DA0-001 questions linked to Visualizing Data.
Practise DA0-001 questions linked to Communicating Data Insights.
Practise DA0-001 questions linked to CompTIA A+ hardware.
Practise DA0-001 questions linked to CompTIA A+ mobile devices.
Practise DA0-001 questions linked to CompTIA A+ networking.
Practise DA0-001 questions linked to CompTIA A+ operating systems.
Practise DA0-001 questions linked to CompTIA A+ security.
Practise DA0-001 questions linked to CompTIA A+ software troubleshooting questions.
Practise DA0-001 questions linked to CompTIA A+ operational procedures questions.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Analyzing and Modeling Data — This question tests Analyzing and Modeling Data — Read the scenario before looking for a memorised answer..
The correct answer is: Independent samples t-test — The independent samples t-test is the correct choice because the scenario involves comparing the means of two independent groups (two different regions) with normally distributed data. This test specifically assesses whether the difference between the two sample means is statistically significant, assuming equal or unequal variances as determined by Levene's test.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jun 30, 2026
This DA0-001 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 DA0-001 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.