Approaches to handle outliers include: - Data cleaning: Removing or correcting erroneous data points. - Robust statistical methods: Using techniques that minimize the impact of outliers. - Re-analysis: Conducting additional experiments to verify outliers. - Documentation: Keeping detailed records to understand the context of outliers.
