The treatment of outliers depends on their nature and impact on the study:
Investigate: First, investigate the cause of the outlier. Determine if it is due to an error or a genuine observation. Correct: If an outlier is due to a data entry or measurement error, correct it if possible. Exclude: In some cases, it may be appropriate to exclude outliers to prevent them from skewing the results. However, this should be done cautiously and documented thoroughly. Analyze Separately: Sometimes, outliers might represent a subset of the population that should be analyzed separately.
