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DA0-002 Data Analysis Practice Question

An analyst is comparing the average sales of two different store locations using a t-test. The p-value obtained is 0.03, and the significance level is 0.05. 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

Reject the null hypothesis; there is a significant difference

Since p-value (0.03) < α (0.05), we reject the null hypothesis, indicating a statistically significant difference in mean sales between the two locations.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Fail to reject the null hypothesis; no significant difference

    Why it's wrong here

    The p-value is less than alpha, so we reject the null.

  • The test is inconclusive because the p-value is too low

    Why it's wrong here

    A low p-value is evidence against the null.

  • Reject the null hypothesis; there is a significant difference

    Why this is correct

    Correct interpretation.

  • Accept the null hypothesis; the means are equal

    Why it's wrong here

    We never accept the null; we either reject or fail to reject.

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