A researcher has found a non-random relationship in a large random sample using hypothesis testing. Why would it be a good idea to also compute measures of association?
A) The researcher will want to assess the strength and direction of the relationship.
B) Hypothesis tests do not have sufficient power to detect important relationships in large samples.
C) Measures of association can sometimes contradict hypothesis test results, so both are needed for complete information.
D) Measures of association are not necessary if the null hypothesis has been rejected.
Correct Answer:
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