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external variance

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "external variance" is correct and usable in written English.
It can be used in contexts such as statistics, finance, or project management to refer to variations or differences that occur outside of a defined system or process. Example: "The external variance in the market conditions has significantly impacted our sales projections for the quarter."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

4 human-written examples

The results of the experimentation were evaluated from different statistical strategies, such as hypothesis testing using an external variance previously estimated, Lenth's method, and Bayesian analysis.

The external variance model for option 3b was based on the consolidated data from all studies (Phase II).

Wille et. al. [ 16] proposed an external variance estimation algorithm called EVE, which exploits the relationships between variances of gene expression and gene function.

For use as an explanatory variable we normalise the external variance estimates in such a way that they have mean zero and variance one for all ranges of expression.

Human-verified similar examples from authoritative sources

Similar Expressions

56 human-written examples

For example, improving crop varieties appeared to be the most desired adaptation strategy possibly due to their aspiration for a maize variety which is free from the effects of climatic, and other external, variances.

Standardisation of instructions given to participants at the time of recruitment may also control for external variances in measured adherence caused by the way information is conveyed and comprehended.

In case the model is external the variance is varleft({widehat{tau}}_{ma}right)={displaystyle {sum}_{iin U}{displaystyle {sum}_{jin U}left({pi}_{ij}-{pi}_i{pi}_jright) frac{e_i}{pi_i} frac{e_j}{pi_j}}} (4).

The quality of a sampling scheme is quantified by the spatially averaged external drift kriging variance, which incorporates the drift estimation error as well as the spatial interpolation error.

As expected, external branches have lowest variance and root branches the highest variance.

Being associated with similar variance in external criteria may imply comparable content and external validity, but does not imply similar construct validity.

Political engagement can be positive, constructive, and cooperative in manner, or at variance with external actors' views and actions through advocating for change, or even condemning the policies and actions of other actors.

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Expert writing Tips

Best practice

When analyzing data, clearly define what constitutes "external" to avoid ambiguity in interpreting "external variance". This is especially important in statistical modeling and research contexts.

Common error

Ensure you distinguish between "external variance", which arises from factors outside the system being studied, and internal variability, which is inherent to the system. Misinterpreting these can lead to inaccurate conclusions.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "external variance" functions as a noun phrase, typically used in scientific, statistical, and research contexts. It denotes the portion of the total variance in a dataset that is attributable to factors originating outside the system or model being considered. Ludwig AI confirms the phrase's validity and usability.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, the term "external variance" refers to the variability caused by factors outside a defined system, predominantly used within scientific research and statistical analysis. Ludwig AI confirms that the phrase is valid and commonly used in the scientific domain. While alternatives such as "outside variability" or "environmental variance" exist, the key is to maintain clarity in differentiating between internal and external sources of variation. When using "external variance", clearly define the boundary of the system under study to prevent ambiguity and ensure accurate data interpretation.

FAQs

What does "external variance" mean in statistical analysis?

In statistical analysis, "external variance" refers to the variability in data caused by factors outside the system or model being studied. It contrasts with internal variance, which arises from within the system itself.

How can I reduce "external variance" in my experiment?

To reduce "external variance", try to control or account for external factors that may influence your results. This might involve standardizing experimental conditions or including external variables in your statistical model.

What are some alternatives to the term "external variance"?

Alternatives include "outside variability", "environmental variance", or "variance from external sources", depending on the specific context.

Is there a difference between "external variance" and "external variation"?

While similar, "external variance" typically refers to a quantified statistical measure of dispersion caused by external factors, whereas "external variation" more broadly describes the act or process of varying due to external influences.

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Source & Trust

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Authority and reliability

4.1/5

Expert rating

Real-world application tested

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