DA0-002 Data Analysis Practice Question
A data scientist is conducting an A/B test with a significance level of 0.05. Which three factors should be considered when calculating the required sample size? (Choose THREE)
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 (e.g., 0.80)
Sample size calculation depends on desired power, effect size, and significance level.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Seasonality of the data
Why it's wrong here
Seasonality affects time series, not sample size for A/B test.
- ✓
Statistical power (e.g., 0.80)
Why this is correct
Higher power requires larger sample.
- ✓
Minimum detectable effect size
Why this is correct
Smaller effect sizes need larger samples.
- ✗
Number of clusters in k-means
Why it's wrong here
Unrelated to A/B testing.
- ✓
Significance level (α)
Why this is correct
Lower α requires larger sample.
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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.