a marginal error

USAGE SUMMARY

The phrase "a marginal error" is correct and usable in written English.
It can be used to refer to a small or insignificant mistake, often in contexts like statistics, measurements, or calculations. Example: "The results of the experiment showed a marginal error, which did not significantly affect the overall findings."

✓ Grammatically correct

Science

Wiki

News & Media

Human-verified examples from authoritative sources

Exact Expressions

10 human-written examples

Load displacement curves obtained from the numerical results are in good agreement with experiments with a marginal error of 2%.

Composite Structures

A confirmatory test at the optimum conditions resulted in a uranium recovery of 95%, indicating a marginal error of 4.99%.

Annals of Nuclear Energy

Comparisons showed successful predictions of such a marginal error that could be characterized as quite sufficient for a primary model validation.

Fuel Processing Technology

Among the three modeling methods, predictions using RSM model were found better in agreement with experimental results with a marginal error between 4% and 8%.

Minerals Engineering

Confirmatory test at these optimum conditions resulted in a nickel recovery of 74.1%; thus verifying that the model is valid and plausibly fits the experimental data with a marginal error of 7.7%.

Hydrometallurgy

If there is a difference between the calculated and desired output network, the synaptic weights which contribute to generate a significant error will be changed more significantly than the weight that led to a marginal error.

Journal of Petroleum Exploration and Production Technology

Human-verified similar examples from authoritative sources

Similar Expressions

50 human-written examples

Brumback et al. [40] showed a 10% marginal error in the surgeon's ability to determine axial and rotational stability from preoperative X-rays and intraoperative fluoroscopy.

Strategies in Trauma and Limb Reconstruction

Sample size was calculated based on expected estimates of 50% of BMI < 18.5, 95% confidence limits, and a 5% marginal error, the required sample was 384.

BMC Public Health

A sample size with the marginal error 2.5% expected prevalence of 1.6% and confidence interval of 95%; nonresponse rate of 10% was calculated for 1016 participants.

BioMed Research International

A single population proportion formula at 95% CI with 5% of marginal error at 50% of prevalence of occurrence was used to determine sample size.

HIV/AIDS - Research and Palliative Care

The sample size of the study was calculated using a single population proportion formula with the assumptions of 95%% Confidence Level (CL), marginal error (d) of 0.05, and adherence level (P) of 0.74 % which was taken from previous study in Ethiopia [ 10].

BMC International Health and Human Rights

Expert writing Tips

Best practice

When reporting quantitative data, acknowledge "a marginal error" to maintain transparency and credibility, showing awareness of potential limitations in your measurements or calculations.

Common error

Don't automatically dismiss "a marginal error" as inconsequential. Always analyze its potential impact on your overall results or conclusions, especially when decisions rely on high precision or accuracy. A seemingly small error can sometimes have cascading effects.

Linguistic Context

The phrase "a marginal error" functions as an adjective-noun combination, where 'marginal' modifies 'error'. It typically qualifies the size or importance of the error, indicating that it is small or insignificant. This follows Ludwig AI's assertion that the phrase is correct and usable.

Expression frequency: Rare

Frequent in

Science

66%

News & Media

17%

Wiki

17%

Less common in

Formal & Business

0%

Encyclopedias

0%

Social Media

0%

Ludwig's WRAP-UP

In summary, "a marginal error" is a grammatically sound phrase used to describe a small or insignificant mistake. As Ludwig AI confirms, the phrase is suitable for written English and is primarily encountered in scientific and technical contexts. While the phrase indicates the error is small, it's crucial to assess the potential impact and avoid dismissing it without analysis. Alternatives like "a slight inaccuracy" or "a minor deviation" can be employed for variety. Remember, even seemingly small errors can have unexpected consequences, so context is key.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

a slight inaccuracy

Replaces "error" with "inaccuracy", emphasizing the lack of precision.

a minor deviation

Substitutes "error" with "deviation", highlighting a departure from the expected.

a negligible mistake

Emphasizes the insignificance of the "error" by calling it "negligible".

a small discrepancy

Replaces "error" with "discrepancy", indicating a difference or inconsistency.

an insignificant fault

Uses "fault" instead of "error", conveying a slight imperfection.

a trivial mistake

Highlights the unimportance of the "error" by labeling it as "trivial".

a minimal imprecision

Focuses on the "error" being a "minimal" lack of exactness.

a modest inaccuracy

Similar to "slight inaccuracy" but with a slightly different tone.

a hairline error

Uses "hairline" to represent a very thin and small "error".

a venial error

Replaces "marginal" with "venial" which denotes a forgivable or pardonable "error".

FAQs

How can I use "a marginal error" in a sentence?

You can use "a marginal error" to describe a small or insignificant mistake. For example: "The experiment's results contained "a marginal error", which didn't affect the overall conclusion."

What's the difference between "a marginal error" and "a significant error"?

"A marginal error" refers to a small, often negligible mistake, while "a significant error" indicates a more substantial mistake that can have a considerable impact on results or outcomes. The key difference lies in the magnitude and potential consequences of the mistake.

What can I say instead of "a marginal error"?

You can use alternatives like "a slight inaccuracy", "a minor deviation", or "a negligible mistake depending on the context.

Is it always okay to ignore "a marginal error"?

While "a marginal error" might seem insignificant, it's crucial to assess its potential impact. In some contexts, such as scientific research or financial analysis, even small errors can accumulate or lead to incorrect interpretations. Always consider the context before dismissing an error.