Quantitative inconsistency

USAGE SUMMARY

The phrase "Quantitative inconsistency" is correct and usable in written English.
It can be used in contexts where there are discrepancies or contradictions in numerical data or measurements. Example: "The report highlighted a quantitative inconsistency in the sales figures, raising concerns about the accuracy of the data."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

These thresholds were a p value for the Q statistic less than 0.10 (which would mean quantitative inconsistency) and I2 < 50% (which would also mean quantitative inconsistency).

BMC Medical Research Methodology

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

The model was improved by assuming a spin-up of the grain caused by the ejection of molecular hydrogen from the grain surface (the "pinwheel mechanism", Purcell, 1979), however quantitative inconsistencies remained between the improved model and observed interstellar conditions (e.g. Lazarian and Draine, 1999).

Earth, Planets and Space

Recent studies have noted myriad qualitative and quantitative inconsistencies between the medieval Black Death (and subsequent "plagues") and modern empirical Y. pestis plague data, most of which is derived from the Indian and Chinese plague outbreaks of A.D. 1900±15 years.

Plosone

We also calculated the I statistic, a quantitative measure of inconsistency across studies (25).

Diabetes Care

The I-square value, a quantitative measurement of inconsistency across different studies [ 32], was also calculated.

Disease Markers

The I-square (I) statistic, a quantitative measure of inconsistency across studies, was used to assess heterogeneity.

BMC Complementary and Alternative Medicine

Heterogeneity across studies was tested by using the I2 statistic, which was a quantitative measure of inconsistency across studies.

Critical Care

In Response: Commenting on our recent demonstration that the human body louse was a likely vector of Black Death (the medieval European plague epidemics) (1 ), Welford and Bossak (2 ) point out that quantitative and qualitative inconsistencies in data for Black Death and modern plague argue against concluding that Yersinia pestis is the etiologic agent of Black Death (3 ).

Emerging Infectious Diseases

In light of the results here obtained it seems that it rather produces a considerable inconsistency both quantitative and qualitative in the results.

Plosone

Case study suggests that impacts of large wind farms on steady state security are inconsistent and a quantitative assessment can suggest the level of inconsistency.

Journal of Modern Power Systems and Clean Energy

Due to the inconsistency of obtaining quantitative cultures it was not possible to determine infection vs. colonization, however 32/37 866%) of all patients who died had a positive isolate recovered from the respiratory tract.

BMC Infectious Diseases

Expert writing Tips

Best practice

When reporting a "quantitative inconsistency", always specify the source of the data and the specific variables involved to provide context for the discrepancy.

Common error

Avoid stating a "quantitative inconsistency" exists without providing specific details or examples. Be precise about which data points or calculations are inconsistent to avoid ambiguity.

Linguistic Context

The phrase "quantitative inconsistency" functions as a noun phrase that describes a discrepancy or contradiction in numerical data or measurements. As confirmed by Ludwig, it is usable in written English to highlight problems or anomalies in quantitative information.

Expression frequency: Uncommon

Frequent in

Science

65%

News & Media

15%

Academia

10%

Less common in

Encyclopedias

3%

Formal & Business

2%

Reference

0%

Ludwig's WRAP-UP

The phrase "quantitative inconsistency" denotes a discrepancy or contradiction found within numerical data. Ludwig AI confirms that this phrase is grammatically correct and suitable for use in written English. It most commonly appears in scientific and academic contexts, indicating its formal and technical nature. Related terms such as "numerical discrepancy" or "data inconsistency" can be used as alternatives to subtly shift the emphasis. When using this phrase, be precise about the specific data points involved to avoid ambiguity. The term serves to highlight potential issues with data reliability and validity in various fields of study.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

numerical discrepancy

Focuses specifically on differences in numerical values.

data inconsistency

Highlights inconsistencies within a dataset.

statistical anomaly

Suggests an unusual or unexpected statistical result.

measurement error

Implies inaccuracies in the measurement process.

numerical deviation

Emphasizes the departure from an expected numerical value.

quantifiable contradiction

Highlights a contradiction that can be expressed numerically.

incongruent data

Points out data that does not align or fit together.

discordant figures

Emphasizes a lack of harmony or agreement among numerical values.

variable disparity

Focuses on differences between variables.

mathematical imbalance

Indicates a lack of equilibrium or proportion in mathematical terms.

FAQs

How can I use "quantitative inconsistency" in a sentence?

You might say, "The study revealed a significant "quantitative inconsistency" between the predicted and actual results."

What is an alternative to "quantitative inconsistency"?

Alternatives include "numerical discrepancy", "data inconsistency", or "statistical anomaly", depending on the specific context.

Which is more appropriate: "quantitative inconsistency" or "qualitative inconsistency"?

"Quantitative inconsistency" refers to discrepancies in numerical data, while "qualitative inconsistency" refers to differences in descriptive or categorical data. The correct choice depends on the type of data being analyzed.

What does "quantitative inconsistency" mean in the context of research?

In research, "quantitative inconsistency" suggests that there are contradictions or unexplained variations in the numerical findings, potentially indicating bias, errors, or the influence of confounding variables.