DA0-002 Data Analysis Practice Question
A marketing team runs an A/B test comparing two webpage designs. The null hypothesis states there is no difference in conversion rates. The p-value is 0.08 at α=0.05. Which is the correct interpretation?
⚠ Common exam trap
Watch out — candidates often confuse 'fail to reject the null' with 'the null is true' or 'the alternative is accepted' — candidates often pick A or B by treating a non-significant p-value as proof of no effect or as evidence for the alternative.
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
✓
There is insufficient evidence to conclude a difference between the designs.
A p-value of 0.08 exceeds the significance level α=0.05, so we fail to reject the null hypothesis. Failing to reject the null means there is not enough statistical evidence to conclude that a real difference exists between the two webpage designs. The result is not statistically significant at the 5% threshold.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The null hypothesis is rejected, indicating the designs are different.
Why it's wrong here
Rejection requires p below α; at 0.08 against 0.05 the null stands, so no difference is indicated. It is tempting because a small p-value does justify rejection, and 0.08 looks close enough to 0.05 that analysts round it down mentally.
- ✗
The alternative hypothesis is accepted, showing the new design is better.
Why it's wrong here
With p=0.08 exceeding α=0.05, the null hypothesis is not rejected, so the alternative cannot be accepted or declared superior. It is tempting because a lower p-value would support the alternative, and analysts often conflate failing to reject with proving the new design wins.
- ✓
There is insufficient evidence to conclude a difference between the designs.
Why this is correct
At α=0.05, a p-value of 0.08 exceeds the significance threshold, so the null hypothesis is not rejected. The test simply lacks statistical evidence of a conversion-rate difference; it does not prove the designs perform identically.
- ✗
There is a statistically significant difference between the designs.
Why it's wrong here
Significance demands p≤α; 0.08 exceeds 0.05, so the result is not statistically significant. It is tempting because the p-value is small in absolute terms, and many mistakenly treat any p below 0.10 as evidence of a real effect.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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.