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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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prone to variance

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "prone to variance" is correct and usable in written English.
It can be used to describe something that is likely to change or vary, often in contexts related to statistics, behavior, or conditions. Example: "The results of the experiment were prone to variance due to the differing environmental conditions."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

4 human-written examples

The probabilities look fairly accurate, with exceptions in the beginning of the competition—since there are less matches played per team, they are more prone to variance.

News & Media

The Economist

Prone to variance due to multiple environmental factors, animal neurophenotyping studies rely on using proper experimental protocols, study designs and well-established models and tests.

However, prone to variance due to experimental factors, data obtained in these models need to be interpreted with caution, using proper experimental protocols, study designs, validated endpoints as well as well-established models and tests.

The basic strategy of FASTER is to use the classical 'hard' rule, which is objective but prone to variance within subjects.

Human-verified similar examples from authoritative sources

Similar Expressions

56 human-written examples

The behavioral measure is, however, spontaneous and consequently prone to much variance, a problem compounded when rats receive few trials.

Another explanation might be the larger sample size of our study compared to most of the earlier studies, as smaller studies are more prone to higher variance.

These longitudinal within-subject studies are more sensitive than cross-sectional studies because they are less prone to error variance from the many sources of inter-subject variability.

In the literature, it is argued that social and behavioral research, particularly those that include self-reports such as surveys, is prone to Common method variance (CMV).

In contrast to parsimony approaches to character mapping this is a probabilistic approach, which (i) does not assume that only a single change has occurred along any branch, and (ii) is not prone to underestimation of the variance in ancestral state assignments [ 101].

In general, sample sizes of at least 30 observations are recommended when applying the central limit theorem to the sampling distribution of a mean [8]; when dealing with a variance parameter as target, probably 50 should be the minimum number of paired observations since estimating second moments (like the variance) is more prone to uncertainty than estimating first moments (like the mean).

However, Saarela et al. (2016) showed that the model-based variance estimators are less prone to problems with geolocation mismatches between field plots and remotely sensed auxiliary data.

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Expert writing Tips

Best practice

When discussing statistical data or experimental results, use "prone to variance" to indicate that the results may fluctuate or differ under varying conditions. This phrase is especially useful when highlighting potential sources of error or uncertainty.

Common error

Avoid using "prone to variance" when you actually mean "prone to bias". Variance refers to the spread or dispersion of data, while bias refers to a systematic error that skews results in a particular direction. Use "prone to bias" when discussing systematic errors.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

89%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "prone to variance" functions as an adjective phrase modifying a noun, indicating a tendency or susceptibility to variation. Ludwig's examples show its usage in describing experimental results, predictions, or data that are not consistent.

Expression frequency: Rare

Frequent in

Science

75%

News & Media

25%

Formal & Business

0%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "prone to variance" is a grammatically correct phrase used to describe something with a tendency to change or fluctuate, particularly in scientific or statistical contexts. Ludwig AI analysis of examples show that the expression appears mainly in Science and News & Media categories, but its usage is infrequent. When writing, remember that variance differs from bias, and alternative phrases like "subject to fluctuation" or "liable to vary" may be suitable depending on the context. The phrase implies formality and caution, making it best suited for academic or technical discussions.

FAQs

How can I use "prone to variance" in a sentence?

You can use "prone to variance" to describe situations or results that are likely to fluctuate or change. For example: "The experiment's results were "prone to variance" due to environmental factors."

What is a good alternative to "prone to variance"?

Alternatives include "subject to fluctuation", "liable to vary", or "susceptible to variation". The best choice depends on the specific context.

Is "prone to variance" the same as "prone to bias"?

No, "prone to variance" and "prone to bias" have different meanings. "Prone to variance" refers to the tendency of data to spread out or differ, while "prone to bias" refers to a systematic error that skews results in a particular direction. Understanding the difference is crucial for accurate reporting.

In what contexts is "prone to variance" commonly used?

The phrase is often used in scientific research, statistical analysis, and discussions of experimental design where acknowledging potential variability in results is important. Ludwig AI shows that the phrase appear mainly in "Science" and "News & Media" sources.

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Most frequent sentences: