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Ausreißer Detektor
Findet Ausreißer durch IQR-Zäune, z-score und MAD-basierten modifizierten z-score auf einmal und erklärt Meinungsverschiedenheit. Warnt wenn kleine Stichprobe z-score Test mathematisch unmöglich macht. Ermöglicht Quartilkonvention wählen.
🔒 Dieses Tool läuft vollständig in Ihrem Browser. Ihre Dateien werden niemals an einen Server hochgeladen.
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Distribution
Median
Mean
Std deviation
IQR
| Method | Range considered normal | Flagged | Values |
|---|
Every value, scored
| Value | z | modified z | Flagged by |
|---|
Calculated in this page; nothing is uploaded. An outlier is a value that does not fit a model, which is not the same as a value that is wrong — these methods tell you where to look, not what to delete.
How Ausreißer Detektor works
- Open Ausreißer Detektor and review the example state before entering your own values.
- Enter or select the information needed for Ausreißer Detektor.
- Review the result and adjust the inputs if you want to compare another case.
Finds outliers by IQR fences, z-score and the MAD-based modified z-score at once, and explains disagreement. Warns when a small sample makes the z-score test mathematically unable to flag anything, and lets you choose the quartile convention. The interactive workspace runs in your browser, so you can review the result without creating an account.
FAQ
What is Ausreißer Detektor used for?
Finds outliers by IQR fences, z-score and the MAD-based modified z-score at once, and explains disagreement. Warns when a small sample makes the z-score test mathematically unable to flag anything, and lets you choose the quartile convention.
Do I need an account?
No. The tool is available directly in the browser without an account or sign-up.
What should I do if the result looks unexpected?
Check the entered values and compare them with the guidance shown in Ausreißer Detektor. Use the result as a planning aid and verify important decisions independently.