Managing outliers in nanotechnology involves balancing the need to remove erroneous data without discarding potential breakthroughs. The main challenges include: - Differentiating between true outliers and significant data points. - Ensuring the robustness of statistical analysis. - Maintaining data integrity and reproducibility.
