Werte jenseits von ±3 Standardabweichungen wurden
Values beyond ±3 standard deviations were
Littéralement: Values beyond of ±3 standard deviations were
Use this phrase in formal reports to explain why you ignored extreme, rare data points.
En 15 secondes
- Statistical term for identifying extreme outliers in a dataset.
- Used in formal reports to explain data cleaning processes.
- Signals high-level academic rigor and professional data handling.
Signification
This phrase is used in statistics to describe data points that are extreme outliers, falling far outside the normal range. It's like saying something is so weird or rare that it doesn't fit the usual pattern.
Exemples clés
3 sur 6Writing a scientific paper
Werte jenseits von ±3 Standardabweichungen wurden aus dem Datensatz entfernt.
Values beyond ±3 standard deviations were removed from the dataset.
Presenting a business report
Werte jenseits von ±3 Standardabweichungen wurden als Messfehler interpretiert.
Values beyond ±3 standard deviations were interpreted as measurement errors.
Quality control in a factory
Werte jenseits von ±3 Standardabweichungen wurden sofort aussortiert.
Values beyond ±3 standard deviations were immediately sorted out.
Contexte culturel
This expression stems from the German academic tradition of extreme precision and 'Wissenschaftlichkeit' (scientific nature). It became a standard part of corporate German during the rise of Six Sigma management in the late 20th century.
The Passive Voice is Key
In German science, we love the passive voice (`wurden ... entfernt`). It makes the data sound like it's speaking for itself without human bias.
Don't Overuse It
If you use this in a normal conversation, you'll sound like you're reading a textbook. Use 'Ausreißer' (outlier) for everyday professional talk.
En 15 secondes
- Statistical term for identifying extreme outliers in a dataset.
- Used in formal reports to explain data cleaning processes.
- Signals high-level academic rigor and professional data handling.
What It Means
This phrase is the bread and butter of data analysts and scientists. It refers to the 'Three-Sigma Rule' in a normal distribution. Imagine a bell-shaped curve where most things happen in the middle. These values are the weird ones at the very edges. They represent less than 0.3% of all possible data. When you use this phrase, you are talking about the true exceptions. You are identifying things that are mathematically unusual. It is a very precise way to say 'outliers.'
How To Use It
You will almost always find this phrase in a passive sentence. It usually starts a sentence to explain how data was cleaned. You follow it with a past participle like ausgeschlossen (excluded). Or you might use identifiziert (identified) or gelöscht (deleted). It sounds very clinical and objective. You are telling your audience that you are being rigorous. You aren't just guessing; you are using math. It is a heavy-duty phrase for serious analytical work.
When To Use It
Use this when you are writing a formal report. It is perfect for a Master’s thesis or a PhD paper. If you are presenting quarterly results at a big company, use it. It shows you have done your homework. It’s great for quality control discussions in a factory. If a machine produces a part that is way too big, this is your phrase. It makes you sound like a high-level expert. Even in a serious meeting, it commands respect.
When NOT To Use It
Do not use this while buying bread at the bakery. It is far too technical for daily life. Don't use it to describe your weird cousin at a wedding. People will think you are a robot or a calculator. Avoid it in casual texts with friends unless you're joking. It’s too formal for a quick chat over coffee. If you use it wrongly, you might sound arrogant. Keep it in the lab or the office.
Cultural Background
Germany is famous for its love of engineering and precision. This phrase perfectly captures the spirit of Gründlichkeit (thoroughness). In German culture, being 'approximate' is often not good enough. We like to have clear rules for what stays and what goes. Using statistical terms in business is very common in Germany. It reflects a culture that values data over gut feelings. It’s about being 'punktgenau' or precisely on point.
Common Variations
You might hear people say Werte außerhalb des Drei-Sigma-Intervalls. This is the exact same thing but sounds even more 'mathy.' Another variation is extreme Ausreißer wurden entfernt. This is slightly less technical but still very formal. Some might say Werte jenseits der dreifachen Standardabweichung. All these phrases serve the same purpose in a report. They all signal that you are filtering out the noise.
Notes d'usage
This is a high-register academic fragment. It is almost exclusively used in written reports or formal presentations. Ensure the verb at the end of the sentence is in the past participle form to complete the passive construction.
The Passive Voice is Key
In German science, we love the passive voice (`wurden ... entfernt`). It makes the data sound like it's speaking for itself without human bias.
Don't Overuse It
If you use this in a normal conversation, you'll sound like you're reading a textbook. Use 'Ausreißer' (outlier) for everyday professional talk.
The 'Three-Sigma' Secret
Germans often call this the 'Drei-Sigma-Regel'. If you want to sound like a local engineer, use that term instead of the full 'Standardabweichung'.
Exemples
6Werte jenseits von ±3 Standardabweichungen wurden aus dem Datensatz entfernt.
Values beyond ±3 standard deviations were removed from the dataset.
Standard way to describe data cleaning in a thesis.
Werte jenseits von ±3 Standardabweichungen wurden als Messfehler interpretiert.
Values beyond ±3 standard deviations were interpreted as measurement errors.
Explaining why certain sales spikes were ignored.
Werte jenseits von ±3 Standardabweichungen wurden sofort aussortiert.
Values beyond ±3 standard deviations were immediately sorted out.
Describing a mechanical sorting process for defective parts.
Mein Stresslevel heute? Definitiv Werte jenseits von ±3 Standardabweichungen!
My stress level today? Definitely values beyond ±3 standard deviations!
Using technical jargon for a humorous effect.
Warum wurden Werte jenseits von ±3 Standardabweichungen nicht separat analysiert?
Why were values beyond ±3 standard deviations not analyzed separately?
A critical question during an academic defense.
Diese Marktschwankungen sind Werte jenseits von ±3 Standardabweichungen.
These market fluctuations are values beyond ±3 standard deviations.
Emphasizing how incredibly rare a stock market crash is.
Teste-toi
Complete the sentence with the correct past participle for a statistical report.
Werte jenseits von ±3 Standardabweichungen wurden nicht ___.
`Berücksichtigt` means 'taken into account,' which fits the formal context of data analysis.
Which preposition is used to mean 'beyond' in this phrase?
Werte ___ von ±3 Standardabweichungen wurden markiert.
`Jenseits` is the formal term for 'beyond' in this specific statistical context.
🎉 Score : /2
Aides visuelles
Formality of 'Werte jenseits von...'
Talking to friends about a weird day.
Das war echt schräg.
Explaining a mistake in a simple way.
Das war ein Ausreißer.
Official report or academic paper.
Werte jenseits von ±3 Standardabweichungen wurden...
Where to use this expression
University Lab
Analyzing test results.
Boardroom
Explaining financial anomalies.
Scientific Journal
Writing the methodology section.
Quality Control
Checking product dimensions.
Questions fréquentes
10 questionsTechnically yes, it is a math term. However, you can use it metaphorically in very nerdy circles to describe anything extremely unusual.
Not really. It is quite poetic or formal. In daily life, we usually say hinter or nach, but for statistics, jenseits is the standard.
You could, but it sounds less professional. Jenseits von is the fixed expression for these types of boundaries in German.
It signals the passive voice. It tells the reader that something was done to these values, like wurden gelöscht (were deleted).
Yes, especially in fields like finance, insurance, and engineering where data is everything.
You say 'plus minus drei'. It sounds just like the English logic, just with German numbers.
The singular is der Wert. But since standard deviation usually involves a group, you will almost always see the plural Werte.
Yes, because it requires understanding complex sentence structures and specific academic vocabulary.
Only if your boss is a data person and you are discussing a formal report. Otherwise, it's too stiff.
Forgetting the von. People often say Werte jenseits ±3, but the von is grammatically necessary here.
Expressions liées
Statistische Ausreißer
Statistical outliers
Die Gaußsche Normalverteilung
The Gaussian normal distribution (bell curve)
Signifikante Abweichung
Significant deviation
Im Rahmen der Fehlertoleranz
Within the margin of error
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