unbiased data

USAGE SUMMARY

The phrase "unbiased data" is correct and usable in written English.
It can be used when referring to data that is free from bias or prejudice, ensuring that the information presented is objective and fair. Example: "In order to draw accurate conclusions, it is essential to analyze unbiased data collected from various sources."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

58 human-written examples

Warren, who has repeatedly raised concerns about the lack of regulations in the "gig economy", said she is continuing to urge the FTC to move forward with collection of "reliable, unbiased data" on Airbnb and other platforms.

The Guardian - Tech

"Think Inside the Box," by Steven Woloshin and Lisa M. Schwartz (Op-Ed, July 5), highlights one part of a larger problem: Whose job is it to synthesize readable, unbiased data about drugs for patients and doctors?

The New York Times

Additionally, a written component should be considered in the future to gather additional unbiased data.

International Journal of STEM Education

This can introduce cognitive bias and may hinder the relatively unbiased data collection.

Human-centric Computing and Information Sciences

Wikipedia is a growing source of unbiased data, although some subjects are easily twisted without vigilance.

Forensic Polymer Engineering Why Polymer Products Fail in Service

We have many efforts at Google and research collaboration around this question of fairness in machine learning and unbiased data".

TechCrunch

Experimental set-up and characteristics of measuring equipment are found to match the requirements for accurate and unbiased data signals.

Surface and Coatings Technology

"Drivers deserve the fair pay they were promised, tips like other workers in the service economy, and unbiased data on the earnings and expenses of ridesharing".

TechCrunch

B. The most important thing is to be sure I am reasoning from valid and unbiased data, so that I don't succumb to biased intuitions.

Science Magazine

Informants believed that research collaboration could increase capacity by providing unbiased data and access to students to assist with targeted research.

Journal of Transport & Health

There is a paucity of unbiased data on the natural history of hepatitis C virus (HCV) infection in injecting drug users (IDUs).

Journal of Hepatology

Expert writing Tips

Best practice

When presenting research, ensure that the methods used to collect and analyze data are transparent and designed to minimize bias. Document all steps to ensure the "unbiased data" remains credible and replicable.

Common error

Do not assume your "unbiased data" is free of skew simply because you intended it to be. Always employ statistical methods and critical evaluation to confirm its neutrality and validity, and acknowledge any limitations.

Linguistic Context

The phrase "unbiased data" functions as a noun phrase, where the adjective "unbiased" modifies the noun "data". It denotes information that is free from prejudice or systematic error, emphasizing objectivity. As Ludwig AI confirms, the phrase is grammatically correct and commonly used.

Expression frequency: Very common

Frequent in

Science

58%

News & Media

30%

Formal & Business

12%

Less common in

Social Media

0%

Wiki

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, the phrase "unbiased data" is a grammatically sound and frequently employed term, signifying information free from prejudice. Ludwig AI confirms its correctness and widespread use, particularly in scientific, news, and formal business contexts. To enhance clarity and impact, consider alternatives like "objective information" or "impartial figures". When working with data, always verify its neutrality and document methodologies to maintain credibility. Be careful to not assume data is unbiased without verifying it. Doing so will ensure your communication is accurate and persuasive.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

objective information

Replaces "data" with "information" stressing the factual aspect and neutrality.

impartial figures

Substitutes "data" with "figures", indicating numerical or statistical information that is free from bias.

neutral statistics

Emphasizes the neutrality of the "statistics", focusing on the absence of skew or preference.

fair evidence

Replaces "data" with "evidence", highlighting the impartiality and justice in the presented information.

balanced facts

Indicates that the "facts" presented are weighed equally and free from distortion.

unskewed findings

Replaces "data" with "findings" which suggest the results have not been manipulated.

non-partisan information

Highlights the absence of political or ideological bias in the "information".

unprejudiced evidence

Focuses on the lack of preconceived notions or biases affecting the presentation of "evidence".

uncolored facts

Suggests that the "facts" are presented without any subjective interpretation or influence.

unslanted data

Implies that the "data" is presented without a particular perspective or bias.

FAQs

How can I ensure that the data I'm using is truly unbiased?

To ensure your data is unbiased, use rigorous collection methods, employ statistical tests to detect skew, and validate your findings with multiple independent sources. Transparency in methodology is key.

What does it mean for data to be "unbiased"?

When data is described as "unbiased", it means that the collection and analysis processes have been designed to minimize any systematic errors or prejudices, presenting an objective view of the information.

What are some alternatives to the phrase "unbiased data"?

You can use alternatives like "objective information", "impartial figures", or "neutral statistics" depending on the context.

Why is it important to use "unbiased data" in research?

Using "unbiased data" is crucial for valid research outcomes. Biased data can lead to skewed results and misleading conclusions, compromising the integrity and reliability of the study.