Each outlier is a single point in the outcome space.
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an outliers can affect the symmetry of the data because u can still move around it
Outliers
Go into your data to determine which values are outliers and if they're significant and random (not an apparent group), eliminate them. This will take them out of your boxplot.
Data points that do not fit with the rest of a data set are known as outliers. These values are significantly different from the majority of the data, either much higher or lower, and can skew statistical analyses. Outliers may arise from variability in the data, measurement errors, or they could indicate a novel phenomenon worth investigating. Identifying and understanding outliers is crucial for accurate data interpretation.
I think it means that our data includes outliers.