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fixed significance

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "fixed significance" is correct and usable in written English.
It can be used in contexts where you want to describe something that has a stable or unchanging meaning or value. Example: "In this theory, symbols are assigned a fixed significance that does not vary across different contexts."

✓ Grammatically correct

Science

EURASIP Journal on Wireless Communications and Networking

Statistics & Probability Letters

Plosone

BMC Systems Biology

Computer Methods and Programs in Biomedicine

BMC Genomics

BMC Endocrine Disorders

Progress in Orthodontics

Cerebral Cortex

BMC Public Health

Evolutionary Applications

BMJ Open

BMC Medical Research Methodology

Bioinformatics

The Journal of Headache and Pain

International Journal of Energy and Environmental Engineering

BMC Health Services Research

BMC Cancer

Fluids and Barriers of the CNS

Human Ecology

Forest Ecosystems

Evolutionary Applications

Clinical, Cosmetic and Investigational Dermatology

BMC Evolutionary Biology

International Journal of Emergency Medicine

Annals of Intensive Care

Journal of Inequalities and Applications

Intensive Care Medicine Experimental

Journal of Orthopaedics and Traumatology

Botanical Studies

Fixed Point Theory and Applications

TechCrunch

Latin American Economic Review

Health Economics Review

International Journal of Bipolar Disorders

BioMed Research International

BMC Infectious Diseases

BMC Medical Ethics

BMC Nursing

BMC Medical Education

BMC Ophthalmology

Human-verified examples from authoritative sources

Exact Expressions

11 human-written examples

The decision rule in this case states that 'for a fixed significance value α, a sequence fails the statistical test if it's P value<α'.

The general perception is that, to achieve a fixed significance level and power, a group sequential test will require a larger maximum total sample size than required by the corresponding standard single-stage test because missing observations are possible under the group sequential test setting.

As expected, power increases with increasing sample size with a fixed significance level.

Science

Plosone

As expected, power increase with increasing sample size for a fixed significance level.

Science

Plosone

Figure 4 shows the sample size under different views of effect size with fixed significance level at 0.05.

Science

Plosone

In a clinical study, when the interest is to target the power for different effect sizes, sample size can be estimated to ensure that the endpoint with the smallest effect size is sufficiently powered with a fixed significance level <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0005054.e018.PNG" class= inline-graphic"/>.

Science

Plosone
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Human-verified similar examples from authoritative sources

Similar Expressions

48 human-written examples

For rejecting the null hypothesis we fixed the significance level of 5%%.

Out of the 24 markers genotyped in this study, 16 resulted to be statistically independent, which fixed the significance threshold to P = 0.0032.

Science

Plosone

Out of the 19 markers genotyped in this study, 11 resulted to be statistically independent, which fixed the significance threshold to p = 0.0045 after Bonferroni correction.

Science

Plosone

Here, we compared PFC activity for stimuli with short-term, context-specific and long-term, fixed behavioral significance.

In both GLMMs, the fixed effect significance was assessed using Wald statistics tested against a Χ distribution on the appropriate degrees of freedom.

Show more...

Expert writing Tips

Best practice

When using "fixed significance", clearly define the context and criteria used to establish the level of significance to avoid ambiguity.

Common error

Don't assume that "fixed significance" implies absolute certainty. It indicates a predetermined threshold for statistical significance, not a guarantee of the truth or practical importance of the findings.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "fixed significance" functions as a descriptor specifying that a particular level of statistical significance has been predetermined and will not be altered throughout a study or analysis. Ludwig confirms its usability in written English.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "fixed significance" is a technical term primarily used within scientific and academic research to describe a predetermined threshold for statistical significance. Ludwig confirms that the phrase is correct and usable in written English. Its purpose is to maintain objectivity and prevent bias in data analysis. Although not a highly frequent term, its usage is consistent and important within its specific context. Alternative phrasing might include "constant significance" or "established significance", but the key is to clearly communicate that the significance level was set prior to analysis.

FAQs

How is "fixed significance" used in research?

In research, "fixed significance" refers to a predetermined threshold (alpha level) used to determine whether the results of a study are statistically significant. If the p-value is below this threshold, the results are considered significant.

What does it mean to have a "fixed significance" level of 0.05?

A "fixed significance" level of 0.05 means there's a 5% risk of concluding that a significant difference exists when there is actually no real difference (Type I error). It's a common but arbitrary threshold in statistical hypothesis testing.

What are some alternatives to "fixed significance"?

Alternatives to "fixed significance" include phrases like "constant significance", "established significance", or "predetermined significance", which emphasize different aspects of the concept.

Why is it important to choose a "fixed significance" level before conducting a study?

Choosing a "fixed significance" level beforehand helps to minimize bias and ensures that the statistical analysis is conducted in a consistent and objective manner. It prevents researchers from adjusting the significance level after seeing the results to achieve a desired outcome.

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Source & Trust

81%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Most frequent sentences: