Epidemiologists use significance tests to determine whether observed associations are likely to be real or due to random variation. These tests guide the interpretation of study results, helping to identify potential risk factors, disease patterns, and the effectiveness of interventions. However, statistical significance should be considered alongside clinical relevance and practical implications.
