Final answer:
Endpoints considered abnormal are those significantly deviating from 'normal' values, potentially indicating infectious diseases or blood disorders. Outliers may represent errors or key insights.
Step-by-step explanation:
In the context of biological or health data, endpoints that would be categorized as abnormal are those that deviate significantly from established "normal" values. These normal values often represent the typical range observed in a healthy population. Deviations from these normal values may indicate the presence of an infectious disease or a blood-associated disorder. When evaluating data, potential outliers are data points that stand out because they are considerably different from others. These outliers could represent measurement errors, abnormal conditions, or crucial information that offers insight into the data set's underlying structure.