significant variance

USAGE SUMMARY

The phrase "significant variance" is correct and usable in written English.
It can be used when discussing notable differences or changes in data, results, or measurements in various contexts, such as statistics, research, or finance. Example: "The study revealed a significant variance in the test scores between the two groups, indicating a need for further investigation."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Averages of significant variance sources were compared using the Duncan multiple comparison test as significance level P = 0.05.

International Aquatic Research

Anecdotal information suggests some expatriates transfer as much as 50percentt of their salary, although there is significant variance.

The Guardian

Indeed, although there is significant variance, on the whole the similarities among states outweigh the differences.

Columbia University

KIM CHRISTFORT: With these four major patterns, these are the ways that you see significant variance in the population.

Harvard Business Review

However, significant variance was seen in the Ca2+ influx for clones of the same myocyte type (Supplementary Figure S3c).

Nature

No significant variance between sires was found in PredPtY or PMC, but lots within sires was a significant variance source for both.

Theriogenology

The results show that different types of RCA have significant variance in mechanical properties.

Construction and Building Materials

These ice archives reveal pCO2 variations of 80 100 ppm on timescales of ~100 kyr with smaller but significant variance in the 41 and 23 kyr frequency bands.

Nature

We will also seek to clarify why a significant variance of action was taken by mobile phone companies in the aftermath of the phone hacking revelations.

The Guardian

Across the eight drugs, there was significant variance in terms of numbers of studies per drug, inter- and intra-drug cost-per-QALY estimates.

Nature

Analysis of variance showed highly significant variance (P ⩽ 0.01) among almost all sources of variation.

Journal of the Saudi Society of Agricultural Sciences

Expert writing Tips

Best practice

When reporting statistical findings, clearly define the variables for which you are noting "significant variance". This provides context and enhances clarity for the reader.

Common error

Avoid assuming that "significant variance" implies a direct cause-and-effect relationship. While it indicates a notable difference, further analysis is required to establish causality.

Linguistic Context

The phrase "significant variance" functions as a noun phrase, where "significant" modifies the noun "variance". It quantifies the degree or extent of the variance, indicating that the observed difference is noteworthy and likely not due to chance. Ludwig provides numerous examples demonstrating this usage across diverse contexts.

Expression frequency: Very common

Frequent in

Science

68%

News & Media

19%

Academia

9%

Less common in

Formal & Business

4%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "significant variance" is a common and correct phrase used to denote a noteworthy difference or variation, especially in scientific and academic contexts. As indicated by Ludwig, it's essential to use this phrase accurately, ensuring that the reported variance is indeed statistically significant and relevant to the analysis. While various alternatives like "substantial variation" or "notable difference" exist, "significant variance" retains a precise and formal tone suitable for research and technical writing. Remember to clearly define the variables exhibiting the "significant variance" and avoid jumping to causal conclusions without further investigation.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

substantial variation

Replaces "variance" with "variation" and "significant" with "substantial", emphasizing a considerable difference.

notable difference

Substitutes "significant variance" with a more general term highlighting a noticeable difference.

considerable discrepancy

Uses "discrepancy" instead of "variance", suggesting a marked inconsistency or disagreement.

marked divergence

Replaces "variance" with "divergence", indicating a separation or deviation that is significant.

appreciable fluctuation

Emphasizes the changing nature of the variance by using the word "fluctuation" instead of "variance".

pronounced disparity

Replaces "variance" with "disparity" which implies a difference especially one connected with unfairness.

distinct deviation

Substitutes "variance" with "deviation", focusing on a clear departure from the norm.

major inconsistency

Replaces "variance" with "inconsistency", focusing on the lack of uniformity or agreement.

obvious contrast

Uses "contrast" instead of "variance" which implies a clear difference between two or more things.

remarkable disparity

Substitutes "significant" with "remarkable", emphasizing the noteworthiness of the difference.

FAQs

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

You can use "significant variance" to describe notable differences or variations in data, results, or measurements. For example, "The study revealed a "significant variance" in the test scores between the two groups".

What are some alternatives to "significant variance"?

Some alternatives to "significant variance" include "substantial variation", "notable difference", or "considerable discrepancy", depending on the context.

Is "significant variance" a statistically sound phrase?

"Significant variance" is a commonly used and accepted phrase in statistics and research to indicate a notable difference that warrants further investigation.

What does "significant variance" imply in research?

In research, "significant variance" suggests that the differences observed are unlikely to be due to random chance, indicating a potentially meaningful effect or relationship. However, further analysis is needed to confirm these findings.