excessive variance

USAGE SUMMARY

The phrase "excessive variance" is correct and usable in written English.
It can be used in contexts where there is a significant or unreasonable difference in data, results, or outcomes, often in statistical or analytical discussions. Example: "The study revealed an excessive variance in the test scores, indicating a lack of consistency among the participants."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

9 human-written examples

The aim of this study was to examine published reports for sources of excessive variance in neuroleptic malignant syndrome (NMS) incidence estimates.

Comprehensive Psychiatry

The statistical evaluation showed that no single step in the sampling procedure contributed with excessive variance and that the variance caused by the sampling procedure was approximately the same as the variance in the chemical analysis observed over a year.

Waste Management

The trials were baseline corrected based on a 100 ms pre-stimuli window and trials with excessive variance were excluded from the analysis.

Plosone

After testing multiple window sizes, we found that a 5-cM window provided sufficient resolution for detecting divergent regions without introducing excessive variance.

Evolutionary Applications

Samples that did not pass quality control because of excessive variance between replicates (>0.5 standard error in number of copies per haploid genome) were excluded from further analysis.

BMC Genomics

We conclude that it is necessary to look beyond the coarse average measure of the expansion to interpret the data and explain the excessive variance (Supplemental Note 4).

Aging Cell

Human-verified similar examples from authoritative sources

Similar Expressions

51 human-written examples

"So not excessively excessive.

The New York Times

Factor 3 "organisational risks" is the third highest barrier accounting for 8.579 % of TVE and is responsible for 58.4, 55.4, 55.2 and 33.2 % of the variance in "excessive perceived economic risk", "organisational rigidities", "restrictive public/governmental regulations" and "hierarchical organisations".

Triple Helix

Since the range of TF coefficients strongly depends on the frequency, this would avoid the risk of excessive modification of the variances due to processing the whole TF plane globally.

EURASIP Journal on Advances in Signal Processing

Their perceptions of the causes of antibiotic resistance were sometimes at variance with available medical evidence, with excessive duration of antibiotic treatment and poor hand hygiene practices rarely being perceived as important drivers for resistance.

Clinical Microbiology and Infection

Notwithstanding this, we nevertheless demonstrated an association between cervical length and AFI in those with excessive amniotic fluid volume, in whom AFI accounted for 17% of the variance in cervical length.

Plosone

Expert writing Tips

Best practice

When discussing research findings, be specific about what caused the "excessive variance". Detail the factors that contributed to the high degree of variability rather than just noting its existence.

Common error

Avoid attributing "excessive variance" to vague causes. Instead of saying 'the variance was due to experimental error', specify which aspect of the experiment contributed most to the variability.

Linguistic Context

The phrase "excessive variance" functions primarily as a noun phrase where the adjective 'excessive' modifies the noun 'variance'. As Ludwig AI confirms, this phrase is grammatically sound and commonly used to describe an unacceptably high degree of variability.

Expression frequency: Uncommon

Frequent in

Science

80%

News & Media

10%

Formal & Business

5%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "excessive variance" is a grammatically correct phrase used to describe an unacceptably high degree of variation, as confirmed by Ludwig AI. It's most frequently found in scientific and academic contexts, where precise language is important. While the phrase is useful, be sure to specify the causes and implications of the variance. Alternatives include "undue variability" and "unreasonable variation", which offer slight nuances in meaning. Remember to avoid vague explanations for the variance; detail the underlying issues contributing to it.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

undue variability

Replaces "excessive" with "undue", emphasizing inappropriateness or unjustifiability of the variability.

unreasonable variation

Substitutes both words with near synonyms to suggest that the range of difference is not acceptable.

extreme fluctuation

Focuses on the idea of oscillation or instability being very high.

inordinate diversity

Highlights the disproportionate spread or range among the data points.

exaggerated dispersion

Emphasizes overstatement of the degree to which data points are scattered.

marked inconsistency

Focuses on the obvious lack of uniformity in the data.

significant deviation

Underlines that the variation is noteworthy and impactful.

substantial difference

Points out that the variance leads to a large degree of differentiation.

pronounced instability

Highlights that the changes are not only large, but also create an unstable condition.

excessive irregularity

Uses an alternative noun to describe the unacceptable amount of inconsistency.

FAQs

How can I use "excessive variance" in a sentence?

You can use "excessive variance" to describe situations where there is an unacceptably large degree of variation or inconsistency. For example: "The analysis revealed "excessive variance" in the sample data, suggesting external factors influenced the outcome."

What's a good alternative to "excessive variance"?

Depending on the context, you can use alternatives like "undue variability", "unreasonable variation", or "significant deviation".

In what fields is the term "excessive variance" commonly used?

"Excessive variance" is often used in statistics, science, and engineering to describe situations where the degree of variation is higher than expected or acceptable.

What does it mean when data shows "excessive variance"?

When data shows "excessive variance", it typically suggests that there may be underlying issues affecting the consistency or reliability of the measurements. This could be due to measurement errors, uncontrolled variables, or other factors influencing the data.