level of variance

USAGE SUMMARY

The phrase "level of variance" is correct and usable in written English.
It can be used when discussing the degree or extent of variability in data, results, or measurements. Example: "The level of variance in the test scores indicates a significant difference in student performance across different schools."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

56 human-written examples

Fifteen percent of rounds took zero to five weeks to close, but there was a huge level of variance beyond that.

TechCrunch

However, the results of the z-factor obtained from different correlations have high level of variance for the same gas sample under the same pressure and temperature.

International Journal of Hydrogen Energy

Thus, the advanced study with more additional independent variable is needed to improve the results and to gain higher level of variance explanation.

Geoenvironmental Disasters

Before examining the classification performance, PCA [24] is used to analyze the level of variance (i.e., discrimination power) of the proposed distance-based features.

EURASIP Journal on Advances in Signal Processing

A certain level of variance within groups is "physiological", especially due to factors that are less relevant in characterizing the group.

Agricultural and Food Economics

In order to ascertain the quality of this enterprise table, we examine the level of variance in input-output coefficients across all single manufacturing sites.

Journal of Economic Structures

Although there was a high level of variance for the plot survey estimates of aboveground production, CASA predicted the measured mean value within about 10% across a wide variety of grassland ecosystems types in YNP.

Carbon Balance and Management

Human-verified similar examples from authoritative sources

Similar Expressions

4 human-written examples

The algorithm iterates between two sets of mixed model equations, one on the level of observations and one on the level of variances.

Genetics, Selection, Evolution

This could potentially lead to differences in heterogeneity of the five strains studied and, thus, to differences in the level of variances within these strains.

Evolutionary Applications

Results suggested that different diversity practices are indeed related to significant levels of variance in perceptions of outcomes.

Sport Management Review

However, exploratory analyses showed that high levels of variance in the variable 'computer confidence' could be explained by quantifiable use data.

Computers in Human Behavior

Expert writing Tips

Best practice

When describing statistical data, specify the "level of variance" using appropriate units or metrics, such as standard deviation or variance percentage, to provide precise information.

Common error

Do not use "level of variance" without context. Always clarify what data or measurements exhibit the variance to ensure clear communication. For example, specify "level of variance in test scores" rather than just "level of variance".

Linguistic Context

The phrase "level of variance" functions as a noun phrase, typically used to describe the quantity or extent of variability within a dataset, experiment, or observation. Ludwig AI shows its common usage across diverse contexts.

Expression frequency: Very common

Frequent in

Science

89%

News & Media

5%

Formal & Business

2%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "level of variance" is a common and grammatically correct term used to describe the degree of variability in a set of data. Ludwig AI confirms its prevalence in scientific, news, and formal contexts. When using this phrase, it's important to provide context to ensure clarity. Alternatives like "degree of variation" or "extent of variability" can be used depending on the specific nuance desired. The phrase finds frequent use in Science, News & Media, and Formal & Business settings.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

degree of variation

Replaces "level" with "degree", emphasizing the extent of change.

extent of variability

Substitutes "level" with "extent" and "variance" with "variability", highlighting the range of differences.

amount of dispersion

Uses "amount" instead of "level" and "dispersion" instead of "variance", focusing on the spread of data.

magnitude of fluctuation

Replaces "variance" with "fluctuation", emphasizing the changes over time or conditions.

range of diversity

Employs "range" and "diversity" to indicate the spectrum of differences within a group.

scope of deviation

Focuses on the extent to which data points differ from a norm or expectation.

measure of inconsistency

Highlights the degree to which data points are not uniform or predictable.

index of fluctuation

Uses "index" to represent the quantified degree of change or instability.

quantity of spread

Replaces "level" with "quantity" and uses "spread" to denote the distribution of data.

rate of change

Shifts the focus to the speed at which variation occurs.

FAQs

How can I use "level of variance" in a sentence?

You can use "level of variance" to describe the degree of variation in a dataset or a set of measurements. For example, "The "level of variance" in the experiment's results was surprisingly high."

What are some alternatives to using "level of variance"?

Alternatives to "level of variance" include "degree of variation", "extent of variability", or "amount of dispersion", depending on the specific nuance you wish to convey.

Is it better to say "level of variance" or "degree of variance"?

"Level of variance" and "degree of variance" are often interchangeable, but "degree" might imply a more qualitative assessment while "level" can refer to a specific measured value.

How does the "level of variance" affect statistical analysis?

The "level of variance" significantly impacts the reliability and interpretation of statistical tests; high variance can reduce the statistical power and increase the likelihood of errors.