DA0-002 Data Analysis Practice Question
In A/B testing, the null hypothesis typically states that:
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 no difference between the control and treatment groups
The null hypothesis (H0) is a statement of no effect or no difference between groups.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
There is no difference between the control and treatment groups
Why this is correct
Correct definition of null hypothesis.
- ✗
The treatment group will perform better than the control group
Why it's wrong here
This is a directional alternative hypothesis.
- ✗
The sample size is sufficient for the test
Why it's wrong here
Sample size is not part of the null hypothesis statement.
- ✗
There is a significant difference between the control and treatment groups
Why it's wrong here
This describes the alternative hypothesis.
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