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Significance of Outlier

Outlier, as defined by science, refers to a data point that significantly deviates from other observations within a dataset. This deviation can suggest variability in measurement or indicate unique factors influencing that particular observation. Identifying outliers is important in data analysis, as they can affect the overall analysis and results, potentially offering insights into anomalies or errors within the dataset. Understanding and addressing outliers is crucial for accurate statistical interpretation.

Synonyms: Anomaly, Deviation, Exception, Irregularity, Outsider, Aberration

The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.

The concept of Outlier in scientific sources

Science Books

Outlier refers to a data point that significantly deviates from other observations in a dataset, suggesting potential variability in measurement and indicating anomalies or unique trends within the data.

Significance in Scientific journals, articles, etc.:

From: The Malaysian Journal of Medical Sciences

(1) A data point that differs significantly from other observations in the dataset, potentially indicating variability in measurement.[1]

This section includes scientific research in the field of healthcare, often involving traditional medicine systems such as Ayurveda, Unani, Siddha and Holistic health. It includes papers from scientific journals classified as either original, clinical or experimental research, review articles or case reports.