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⚠️ Outlier Test
Grubbs (iterative) · Dixon Q test
Run an outlier test on one data set to spot anomalies. Grubbs uses Z and t critical values and removes one point at a time until none remain; Dixon Q is a quick check for the max/min value when n≤30. After finding an outlier, first verify the measurement / record is correct before deciding to remove it.
Data (single column)
About Outlier Test
Detect outliers online with Grubbs' test, Dixon's test and the IQR rule, flag suspicious points and get p-values to decide whether to investigate or remove.
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