DA0-002 Data Analysis Practice Question
A data analyst wants to compare the average revenue per customer between two marketing campaigns (A and B). The analyst is unsure if the data follows a normal distribution. Which statistical test is most appropriate for comparing the means of the two groups?
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
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Two-sample t-test
For comparing means of two independent groups, the t-test is the standard parametric test. If normality is violated, a non-parametric alternative like Mann-Whitney U could be used, but the t-test is robust for moderate sample sizes.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Two-sample t-test
Why this is correct
The two-sample t-test compares means of two independent groups.
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Pearson correlation
Why it's wrong here
Correlation measures strength and direction of linear relationship, not group mean differences.
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Chi-square test
Why it's wrong here
Chi-square tests associations between categorical variables, not means.
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ANOVA
Why it's wrong here
ANOVA compares means of three or more groups.
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