GB/T 4883-2008
ActiveStatistical interpretation of data - Detection and treatment of outliers in the normal sample
数据的统计处理和解释 正态样本离群值的判断和处理
Application Summary AI generated
This standard provides statistical methods for identifying and handling outlier data points within a normally distributed sample. It is applied in quality control, manufacturing, and scientific research to ensure data integrity by detecting anomalous measurements that may indicate errors, process shifts, or special causes. The standard guides engineers and analysts in deciding whether to retain, adjust, or discard outliers before further statistical analysis or process validation.
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