neutral statistics

USAGE SUMMARY

The phrase "neutral statistics" is correct and usable in written English.
It can be used when referring to statistical data that is unbiased or impartial, often in the context of research or analysis. Example: "The study presented neutral statistics to ensure that the findings were not influenced by any external factors."

✓ Grammatically correct

Science

News & Media

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

To search for patterns of diversity that were not consistent with the standard neutral model (SNM), four neutrality statistics were computed for each species: Ewens Watterson F (Ewens 1972), Tajima's D (Tajima 1989), Fay and Wu's normalized H (Fay and Wu 2000), and Kelly's Zns (Kelly 1997).

Evolutionary Applications

Within-amplicon recombination rate of gene fragments was estimated by LDhat v2.1 [ 52]; most-likely values of rho and their confidence interval (i.e. the interval of values with a ΔLOD no larger than 3 from the most likely value) were used to test the robustness of standard neutral equilibrium statistics (see Results) to variations of rho.

BMC Evolutionary Biology

The finding of no significant deviation from neutral evolution with statistics such as Tajima's D, or Fay and Wu's H has been previously recognized to be consistent with the low power of these traditional tests to detect recent selective sweeps as for example in the case of the G6PD locus [ 29].

BMC Evolutionary Biology

Reliable statistics from neutral sources on the theft of secrets are even harder to come by.

The New York Times

Under the standard neutral model, both test statistics are expected to give values close to zero.

BMC Evolutionary Biology

Deviations from the neutral expectation for summary statistics of the site frequency spectrum (e.g., Tajima's D) are common among forest trees [ 38- 41].

BMC Genomics

Coalescent statistics for the neutral case are in line with these expectations (Table 1 Figure 3).

BMC Evolutionary Biology

In order to detect non-neutral patterns of evolution, summary statistics for the R-genes were compared to a genome-wide sample of 'reference' genes from plants of both species from related plant families of equivalent geographic sampling [ 5], each containing a minimum of 60 synonymous sites and a sample size of six.

BMC Evolutionary Biology

P values are given for test statistics that deviate from neutral expectations.

BMC Evolutionary Biology

Assuming the loci to be selectively neutral, we justified the use of these statistics by their different statistical power and sensitivity to recombination [ 46].

BMC Evolutionary Biology

A test for outlier SNPs was performed to identify the strictly neutral SNPs to use in population genetic statistics in order to validate the newly developed markers.

BMC Genomics

Expert writing Tips

Best practice

When presenting data, ensure you clarify the methodology used to maintain the data's neutrality. Transparency builds trust in the presented statistics.

Common error

Do not equate "neutral statistics" with insignificant findings. Neutrality refers to the absence of bias, not the absence of meaningful insights. Even neutral data can reveal significant trends or patterns.

Linguistic Context

The phrase "neutral statistics" functions as a descriptor, modifying a noun (statistics) to indicate a specific quality: the absence of bias or subjective influence. Based on the available information from Ludwig AI, the examples further clarify this usage.

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Ludwig's WRAP-UP

In summary, "neutral statistics" describes data presented without bias or subjective interpretation. Ludwig AI confirms its grammatical correctness, although available examples are limited. Key considerations include ensuring transparency in methodology to maintain neutrality and avoiding the misconception that neutrality equates to insignificance. Common alternatives include "unbiased statistics", "objective statistics", and "impartial statistics". Remember that while striving for neutrality, the data's significance remains paramount.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

unbiased statistics

Replaces "neutral" with "unbiased", emphasizing the lack of bias in the statistics.

objective statistics

Substitutes "neutral" with "objective", highlighting the impartiality and fact-based nature of the statistics.

impartial statistics

Similar to "unbiased statistics", but with a stronger connotation of fairness and lack of favoritism.

statistics without bias

A more explicit phrasing of the core concept, stressing the absence of bias.

uncolored statistics

Emphasizes the absence of subjective interpretation or manipulation of the data.

statistics free from prejudice

Similar to "statistics without bias", but with a stronger emphasis on the absence of preconceived notions.

non-partisan statistics

Highlights the absence of political or ideological leaning in the statistics.

statistics devoid of subjectivity

Emphasizes the lack of personal opinions or interpretations in the statistics.

fair statistics

Focuses on the idea that the statistics are presented in an equitable and just manner.

even-handed statistics

Suggests that the statistics treat all sides or perspectives equally.

FAQs

How can "neutral statistics" be used in a sentence?

You can use "neutral statistics" to describe data that is presented without bias or subjective interpretation, such as, "The report presented "neutral statistics" to avoid influencing the reader's opinion".

What are some alternatives to saying "neutral statistics"?

Alternatives include "unbiased statistics", "objective statistics", or "impartial statistics", all of which emphasize the lack of bias in the data.

What makes statistics "neutral"?

Statistics are considered "neutral" when they are collected, analyzed, and presented in a way that minimizes the influence of the researcher's personal beliefs, values, or political agenda.

Why is it important to present "neutral statistics"?

Presenting "neutral statistics" is crucial for maintaining credibility, fostering informed decision-making, and ensuring that conclusions are based on factual evidence rather than subjective opinions.