MLS-C01 Exploratory Data Analysis Practice Question
A data scientist is analyzing a dataset with a large number of categorical features. The target variable is binary. Which technique should the scientist use to assess the relationship between each categorical feature and the target?
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
✓
Chi-square test of independence
The chi-square test of independence is appropriate for testing association between categorical features and a binary target. ANOVA is for continuous target. Mutual information measures dependency but is not a hypothesis test. Point-biserial correlation is for continuous and binary. Cramér's V is a measure of association after chi-square.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
ANOVA
Why it's wrong here
ANOVA is used for continuous target variables.
- ✗
Point-biserial correlation
Why it's wrong here
Point-biserial is for a continuous feature and binary target.
- ✗
Cramér's V
Why it's wrong here
Cramér's V is a measure of association, not a hypothesis test.
- ✓
Chi-square test of independence
Why this is correct
Chi-square tests association between two categorical variables.
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