Several statistical methods can be used to detect outliers:
1. Visual Methods: Graphical techniques like scatter plots, box plots, and histograms can help identify outliers visually. 2. Statistical Tests: Tests such as Grubbs' Test, Dixon's Q Test, and the Z-score method can statistically identify outliers. 3. Robust Statistical Measures: Using measures that are less sensitive to outliers, such as the median and interquartile range (IQR), can help mitigate their impact.
