Data Analysis →mediumMultiple SelectObjective-mapped

DA0-002 Data Analysis Practice Question

A data analyst is performing a chi-square test of independence on a 2x2 contingency table. The p-value is 0.04. At α=0.05, which THREE of the following statements are correct?

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

✓

There is a statistically significant association between the two variables.

Since p < α, reject the null hypothesis, meaning there is an association. The test does not measure strength (Cramer's V does) and does not identify specific categories.

Answer analysis

Option-by-option breakdown

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

✓
There is a statistically significant association between the two variables.
Why this is correct
Correct: Significant association exists.
✗
The test indicates a strong association between variables.
Why it's wrong here
p-value does not indicate strength; effect size measures strength.
✓
The variables are not independent.
Why this is correct
Correct: Rejecting independence means they are dependent.
✓
The null hypothesis is rejected.
Why this is correct
Correct: p<0.05 leads to rejection of null.
✗
The result is not statistically significant.
Why it's wrong here
p=0.04 < 0.05, so significant.

Go deeper

DA0-002 Data Analysis Practice Question

Why each option matters

Option-by-option breakdown

Related to this question