DA0-002 Data Analysis Practice Question
A data analyst needs to determine whether the mean sales of two different regions are significantly different. The samples are independent and the data is normally distributed. Which statistical test should be used?
⚠ Common exam trap
CompTIA often tests the distinction between independent and paired t-tests, trapping candidates who overlook the 'independent samples' condition and mistakenly choose the paired t-test for any two-group comparison.
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
✓
Independent samples t-test
The independent samples t-test is the correct choice because the scenario involves comparing the means of two independent groups (two different regions) with normally distributed data. This test specifically assesses whether the difference between the two sample means is statistically significant, assuming equal or unequal variances as determined by Levene's test.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Chi-square test for independence
Why it's wrong here
Chi-square is for categorical variables, not continuous means.
- ✗
ANOVA
Why it's wrong here
ANOVA is for comparing three or more groups.
- ✓
Independent samples t-test
Why this is correct
This test compares means of two independent groups with normal distribution.
- ✗
Paired t-test
Why it's wrong here
Paired t-test is for dependent samples, not independent regions.
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