Outliers are data points that deviate significantly from the rest of the dataset. In toxicology, these could be unusually high or low values that do not fit the expected pattern or distribution of the data. Outliers can arise from various sources, such as measurement errors, biological variability, or experimental anomalies. Identifying these outliers is crucial because they can skew results and lead to incorrect inferences about the toxicity or safety of a substance.
