Transforming data into deviations from the mean via standard deviations provides an objective yardstick to search for outliers. Analyzing data through the lens of Z-scores takes away quite a lot of ...

Identifying outliers in a data set is conceptually cut and dry. Running the Grubbs test on the opposite extreme return - a near 49% loss - also finds no support for labeling the number an outlier.