DA0-002 Data Analysis Practice Question
In A/B testing, which factor is increased by having a larger sample size?
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
✓
Statistical power
Larger sample size increases statistical power (ability to detect a true effect).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
P-value
Why it's wrong here
P-value depends on effect size and variability, not directly.
- ✗
Effect size
Why it's wrong here
Effect size is independent of sample size.
- ✗
Type I error rate
Why it's wrong here
Type I error is controlled by α, not sample size.
- ✓
Statistical power
Why this is correct
Power increases with sample size.
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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.