Outlier Identification
statisticsDixon, Rosner and Grubbs outlier tests, with automatic test selection by sample size.
Data
One result per line. Columns can be separated by spaces, commas, semicolons or tabs, so you can paste straight from Excel.
| Column | What it is | Example |
|---|---|---|
| 1. Result | The measured value | 12.4 |
A line looks like 12.4
For a result below the laboratory limit of reporting, enter it as <LOR, e.g. <0.5.
Drop a CSV or Excel file here, or
Read in your browser and put in the box below. The file itself is not uploaded.
10 value(s) parsed
Options
Paste your data and run the analysis
Flagged outliers and a data strip plot will appear here.
What this calculates
Statistical outlier screening using the Dixon Q test, the Rosner generalised extreme studentised deviate test and the Grubbs test, with automatic test selection by sample size. Flagged values are candidates for professional review, not automatic exclusion.
Method references
Dixon (1953), Grubbs (1969), Rosner (1983), Gilbert (1987) Statistical Methods for Environmental Pollution Monitoring.