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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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extreme value

Grammar usage guide and real-world examples

USAGE SUMMARY

"extreme value" is a correct and usable phrase in written English.
You can use this phrase to describe a value or measurement that is either the highest or the lowest possible. For example, "The deep well contained extreme value in salinity levels due to its location near the ocean."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

58 human-written examples

All airlines talk about the extreme value of corporate fliers.

News & Media

The New York Times

The study makes clear that extreme value or momentum strategies incur unnecessary risk.

News & Media

The New York Times

"I think we have an extreme value for our life and time," Cohen said.

But the author's in-depth discussion of taxes is of extreme value.

News & Media

The New York Times

Most researchers believe the actual extreme value is near the lower end of this range.

generalized extreme value distribution.

Extreme value type III (EVIII).

a Mean of extreme value, b STD of extreme value, and c Coefficient of variation of extreme value.

Extreme value type III (EVIII)   4.

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Human-verified similar examples from authoritative sources

Similar Expressions

2 human-written examples

For this reason we use the non-extreme value 0.5.

Extreme-value statistics of the modal frequencies and extreme-value statistics of the angular positions are readily computed through MCS.

Expert writing Tips

Best practice

When discussing statistical outliers, use "extreme value" to precisely identify data points that significantly deviate from the norm.

Common error

Avoid using "extreme value" when you actually mean "absolute value". The former refers to the highest or lowest data points in a set, while the latter refers to the magnitude of a number regardless of its sign.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "extreme value" functions primarily as a noun phrase, where "extreme" modifies the noun "value". Ludwig AI examples show its use in various contexts, including statistics, finance, and general assessments of significance. Ludwig AI also confirms that the phrase is correct and usable in written English.

Expression frequency: Common

Frequent in

Science

62%

News & Media

23%

Wiki

5%

Less common in

Formal & Business

5%

Encyclopedias

1%

Social Media

0%

Ludwig's WRAP-UP

The phrase "extreme value" is a common and grammatically sound term used across diverse fields, including science, news media, and business. As Ludwig AI confirms, its primary function is to denote data points or qualities at the highest or lowest end of a spectrum. Usage contexts range from statistical analysis to assessing significance, reflecting its adaptability. When writing, ensure not to confuse "extreme value" with "absolute value". Alternatives like "maximum extent" or "utmost importance" may be suitable depending on the specific context. The source analysis indicates high usage in science and news media, solidifying its presence in both formal and general discourse.

FAQs

How is "extreme value" used in statistical analysis?

In statistical analysis, "extreme value" is often used to refer to outliers or data points that lie far from the mean. These values can significantly influence statistical models and are often analyzed separately using techniques like extreme value theory.

What is the difference between "extreme value" and "outlier"?

While the terms are closely related, "extreme value" typically refers to the data point itself, whereas "outlier" is a broader term indicating a data point that deviates significantly from other observations. All extreme values are outliers, but not all outliers are necessarily considered extreme values.

Can I use other terms instead of "extreme value"?

Yes, depending on the context you can use terms like /s/maximum+extent, /s/peak+level, or /s/utmost+importance. Choose the term that best fits the specific nuance you want to convey.

Is it appropriate to remove an "extreme value" from a dataset?

Removing an "extreme value" should be done with caution and justification. It's important to understand why the value is extreme. If it's due to an error, removal may be appropriate. However, if it's a genuine data point, removing it could bias the analysis. Consider using robust statistical methods that are less sensitive to outliers.

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Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: