DA0-002 Data Analysis Practice Question
An analyst is conducting an A/B test on a new checkout process. To calculate sample size, which THREE factors must be considered?
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
✓
Desired effect size
Statistical power, significance level (alpha), and desired effect size (minimum detectable effect) are essential for sample size calculation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Number of control groups
Why it's wrong here
Usually one control group; not a factor.
- ✓
Desired effect size
Why this is correct
Effect size is the minimum practical difference to detect.
- ✓
Significance level (alpha)
Why this is correct
Alpha is the Type I error threshold.
- ✓
Statistical power
Why this is correct
Power is the probability of detecting an effect.
- ✗
Population standard deviation
Why it's wrong here
While useful, it is not a primary input; effect size incorporates variability.
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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.