DA0-002 Data Analysis Practice Question
An analyst wants to compare the average sales revenue across three different store locations. Which TWO statistical methods are appropriate for this comparison?
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
✓
ANOVA
ANOVA compares means of three or more groups. A t-test compares only two groups. Chi-square tests categorical independence. Correlation measures linear relationship. Descriptive stats summarise but don't compare multiple groups inferentially.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Two-sample t-test
Why it's wrong here
t-test compares only two groups.
- ✓
ANOVA
Why this is correct
Correct: ANOVA compares means across three or more groups.
- ✓
Multiple regression
Why this is correct
Correct: Multiple regression can compare means with dummy variables.
- ✗
Descriptive statistics
Why it's wrong here
Descriptive stats summarise but don't test differences.
- ✗
Chi-square test
Why it's wrong here
Chi-square tests categorical association, not means.
Go deeper
Related to this question
About these practice questions
This DA0-002 question is part of Courseiva's 986-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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.