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?
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.
Since p > α, we fail to reject the null hypothesis, meaning no statistically significant difference was found.
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
p > 0.05, so we cannot reject the null.
- ✗
The alternative hypothesis is accepted, showing the new design is better.
Why it's wrong here
We do not accept the alternative; we only reject or fail to reject the null.
- ✓
There is insufficient evidence to conclude a difference between the designs.
Why this is correct
We fail to reject the null hypothesis due to high p-value.
- ✗
There is a statistically significant difference between the designs.
Why it's wrong here
p > 0.05, so not significant.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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