DA0-002 Data Analysis Practice Question
A marketing team runs an A/B test on email subject lines. The p-value is 0.03 with α = 0.05. Which of the following 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
✓
Reject the null hypothesis; there is a statistically significant difference.
Since p-value (0.03) < α (0.05), we reject the null hypothesis, indicating a statistically significant difference.
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 result is not statistically significant at the 95% confidence level.
Why it's wrong here
p < α means significant at 95% confidence.
- ✗
The probability that the null hypothesis is true is 3%.
Why it's wrong here
p-value is not the probability of null being true.
- ✗
Fail to reject the null hypothesis; no significant difference.
Why it's wrong here
p < α leads to rejection of null.
- ✓
Reject the null hypothesis; there is a statistically significant difference.
Why this is correct
p < α provides evidence against the null.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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