Tests of significance and measures of association provide information about sample data that is
A)complementary.
B)contradictory.
C)unnecessary.
D)redundant.

Question

Quizplus · Accepted Answer

Tests of significance and measures of association serve different purposes and provide different insights into the data. Tests of significance assess whether differences or relationships observed in the sample are likely to reflect true differences or relationships in the population, while measures of association provide information about the strength and direction of the relationship between variables. Therefore, these two types of analyses are complementary rather than contradictory, and both can be valuable in understanding the data.

Tests of Significance and Measures of Association Provide Information About