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DA0-002 Data Analysis Practice Question

A data analyst is performing a chi-square test of independence on a contingency table of customer satisfaction (satisfied vs. dissatisfied) and product type (A, B, C). The test yields a p-value of 0.04 with α = 0.05. What is the correct conclusion?

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 significant association between satisfaction and product type.

Since p-value < α, we reject the null hypothesis of independence, meaning there is a significant association between satisfaction and product type.

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 no evidence of an association between satisfaction and product type.

    Why it's wrong here

    p < α indicates evidence of association.

  • There is a significant association between satisfaction and product type.

    Why this is correct

    Correct: reject null, conclude association.

  • The test is invalid because the expected counts are too low.

    Why it's wrong here

    No indication of violation of assumptions from given info.

  • Satisfaction and product type are independent.

    Why it's wrong here

    We reject independence.

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