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DA0-002 Data Analysis Practice Question

An analyst runs an A/B test with 1000 users per group and observes a conversion rate of 5% in the control and 6% in the treatment. The p-value is 0.12. What should the analyst conclude?

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

The difference is not statistically significant at the 0.05 level.

Since p-value > 0.05, we fail to reject the null hypothesis; the observed difference is not statistically significant.

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 difference is not statistically significant at the 0.05 level.

    Why this is correct

    Correct interpretation.

  • The sample size is too small to detect an effect.

    Why it's wrong here

    While possible, conclusion is based on p-value; the test may lack power, but the direct conclusion is not significant.

  • The treatment significantly outperforms control.

    Why it's wrong here

    p > 0.05 indicates no significant difference.

  • There is a 12% chance the treatment is better.

    Why it's wrong here

    p-value is not the probability the treatment is better.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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.