identifying outliers
outliers removed
investigating outliers
extreme outliers
handling outliers
outliers exist
outlier analysis
detecting outliers
outliers impact
significant outliers
the data contained several outliers that skewed the average.
we investigated the outliers to understand their potential causes.
removing the outliers improved the model's predictive accuracy.
the outlier analysis revealed a possible data entry error.
identifying outliers is crucial for robust statistical analysis.
the scatter plot clearly showed several outliers in the dataset.
we used a robust method to handle the outliers effectively.
the presence of outliers can significantly impact the results.
further investigation is needed to determine the source of the outliers.
the team flagged the outliers for further review and validation.
outliers can sometimes indicate a new trend or phenomenon.
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