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DA0-002 Data Analysis Practice Question

A data analyst is testing whether a new website layout increases conversion rate. The p-value from the test is 0.03. Using a significance level of 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 new layout significantly increases conversion rate

Since p-value (0.03) < α (0.05), we reject the null hypothesis and conclude there is 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.

  • Reject the null hypothesis; the new layout significantly increases conversion rate

    Why this is correct

    Correct interpretation.

  • The test is inconclusive because p-value is greater than 0.01

    Why it's wrong here

    p=0.03 < 0.05, so it is significant at 0.05 level.

  • Accept the null hypothesis; the new layout has no effect

    Why it's wrong here

    We never accept H0; we either reject or fail to reject.

  • Fail to reject the null hypothesis; the new layout does not increase conversion rate

    Why it's wrong here

    p < α means reject H0.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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