Data interpretation is a critical aspect of methodological soundness. It involves making sense of the results obtained and drawing logical conclusions. Researchers must be cautious of over-interpretation or misinterpretation of data, which can lead to incorrect assertions about a substance's toxicity. Statistical analysis is often employed to determine the significance and relevance of findings, and researchers must ensure that they use appropriate statistical tests and models.
