In toxicology, datasets can be extensive, containing toxicants with numerous variables such as dosage, exposure time, and biological response. Missing data can result from various factors such as instrument failure or human error. Mean imputation helps in maintaining the dataset size, thus preserving statistical power and allowing for comprehensive analyses across various conditions.
