DA0-002 Data Analysis Practice Question
A data analyst is conducting an A/B test on a website's landing page. The null hypothesis is that there is no difference in conversion rates between the control and treatment groups. After collecting data, the analyst calculates a p-value of 0.03. Using a significance level of α = 0.05, what is the correct conclusion?
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; the treatment group has a higher conversion rate.
Since p < α, the null hypothesis is rejected, indicating a statistically significant difference in conversion rates.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Accept the null hypothesis; the difference is due to chance.
Why it's wrong here
We never accept the null; we fail to reject or reject.
- ✓
Reject the null hypothesis; the treatment group has a higher conversion rate.
Why this is correct
The p-value indicates statistical significance, but direction must be checked from data.
- ✗
Fail to reject the null hypothesis; there is no evidence of a difference.
Why it's wrong here
p < 0.05 leads to rejection.
- ✗
The result is inconclusive because the p-value is close to 0.05.
Why it's wrong here
The threshold is strict; p < 0.05 is significant.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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