significance of error

USAGE SUMMARY

The phrase "significance of error" is correct and usable in written English.
It can be used when discussing the importance or implications of mistakes or inaccuracies in a particular context, such as research, data analysis, or learning processes. Example: "In scientific research, understanding the significance of error is crucial for interpreting results accurately."

✓ Grammatically correct

Science

News & Media

Financial Innovation

Human-verified examples from authoritative sources

Exact Expressions

3 human-written examples

It is judged on the basis of the significance of error correction term.

Financial Innovation

Detected through the significance of error correction term (ECT) (see Eqs. 1 4).

Journal of Innovation and Entrepreneurship

The short-run causality is detected through the Wald statistics, while long-run causality is detected through the statistical significance of error correction term.

Journal of Innovation and Entrepreneurship

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

(The methodologies for performing internal and external validation are available in the literature [2].) When evaluating a model, it is clearly important to address the regulatory significance of errors in predictions, rather than simply their size.

Chemistry Central Journal

Future research should evaluate the nature and significance of errors in pharmacists' autoinjector technique.

BMJ Open

An additional measurement was conducted to determine the significance of errors introduced from imprecise serial dilution.

Biomedical Optics Express

31 There is an urgent need to investigate the intricacies of autoinjector demonstration by pharmacists to identify the nature and significance of errors made in demonstration, and the relevance of this to anaphylaxis preparedness.

BMJ Open

The Clinical Panel rated the significance of errors or omissions for 70 patients (16 with no HDS prepared and 54 who's HDS was inconsistent with the validated MITF).

BMC Health Services Research

Not realising the significance of this error the officer decided to correct the mistake.

The Guardian

For this analysis, the error will be established at α = 5% with a statistical significance of 80% (error β = 20%).

BMC Palliative Care

However, the error which occurred in the estimated target acceleration propagates to the velocity estimation, and the significance of such error propagation depends on the duration of the CPI.

EURASIP Journal on Advances in Signal Processing

Expert writing Tips

Best practice

In risk assessment, quantify the "significance of error" by linking potential mistakes to tangible outcomes like financial loss or safety hazards.

Common error

Avoid exaggerating the "significance of error" to create unnecessary alarm. Provide context and compare the error's impact against established benchmarks or acceptable limits.

Linguistic Context

The phrase "significance of error" functions as a noun phrase, often serving as the subject or object of a sentence. It denotes the importance or consequence associated with mistakes or inaccuracies. Ludwig AI identifies the phrase as grammatically sound and usable.

Expression frequency: Uncommon

Frequent in

Science

60%

News & Media

20%

Formal & Business

20%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "significance of error" is grammatically correct and denotes the importance or impact of errors in a specific context. Ludwig AI confirms its usability, particularly in formal and scientific settings. While not extremely common, its usage is clear and consistent, often appearing in research papers, risk assessments, and discussions of data analysis. When using this phrase, consider alternatives such as "importance of the mistake" or "impact of the error" to add variety to your writing. A key best practice is to quantify the "significance of error" with tangible outcomes or benchmarks, avoiding the pitfall of overstating its importance without proper context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

importance of the mistake

Replaces "significance" with "importance" and "error" with "mistake", focusing on the gravity of an error.

impact of the error

Emphasizes the consequences or effects of the error.

relevance of the mistake

Highlights how pertinent or connected the error is to a particular situation.

seriousness of the error

Indicates the severity or critical nature of the mistake.

magnitude of the error

Focuses on the size or extent of the error's effect.

weight of the error

Implies the burden or importance that the error carries.

consequences of the mistake

Shifts the focus to what results from the error.

implications of the error

Focuses on what the error suggests or implies beyond its immediate effect.

degree of inaccuracy

Replaces "error" with "inaccuracy", highlighting the extent to which something is incorrect.

criticality of the error

Emphasizes how essential it is to address the error.

FAQs

How can I assess the "significance of error" in data analysis?

Assessing the "significance of error" involves considering the potential impact on your results. Look at factors like sample size, error distribution, and the consequences of making incorrect inferences. Statistical methods such as hypothesis testing can help determine if the error is likely due to chance or a real effect. Also consider comparing with "acceptable error margins" in your field.

What are some alternatives to "significance of error"?

You can use alternatives like "importance of the mistake", "impact of the error", or "relevance of the mistake" depending on the specific context. Each emphasizes a slightly different aspect of the error's effect.

What does it mean to evaluate the "significance of error" in a scientific model?

Evaluating the "significance of error" in a model means determining whether the errors in the model's predictions are substantial enough to affect the validity of its conclusions. This often involves comparing the error to the overall magnitude of the effects being studied. If the error is too great, the model may need refinement or recalibration.

How does the "significance of error" relate to statistical power?

Statistical power is the probability of detecting a true effect when it exists. A higher "significance of error" (alpha level) increases the chance of a false positive, while lower power increases the chance of a false negative. Balancing these two is crucial in experimental design to ensure reliable and meaningful results. You may also want to check "error statistical power" when designing studies.