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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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reliable statistics

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "reliable statistics" is correct and usable in written English.
You can use it when referring to data that is trustworthy and can be depended upon for accuracy in research or analysis. Example: "In order to make informed decisions, we must rely on reliable statistics that accurately represent the current trends."

✓ Grammatically correct

News & Media

Science

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

59 human-written examples

Reliable statistics could also put the teens ease of your own reliability.

Inevitably, there are few reliable statistics.

News & Media

The Guardian

As the experts admit, it's hard to get reliable statistics.

News & Media

The Guardian

Providing reliable statistics is not an Italian speciality.

There are no reliable statistics about height and weight.

Encyclopedias

Britannica

But other, more reliable, statistics offer grounds for optimism.

News & Media

The Economist

She should know the value of robust evidence and reliable statistics.

Reliable statistics on international adoptions of Ugandan children are hard to come by.

News & Media

The Guardian

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

News & Media

The New York Times

There are no reliable statistics on the proportion for funds of funds.

News & Media

The New York Times
Show more...

Human-verified similar examples from authoritative sources

Similar Expressions

1 human-written examples

Demographic information and socio-economic status were derived from highly reliable Statistics Sweden register data.

Expert writing Tips

Best practice

When presenting "reliable statistics", always cite the source to enhance credibility and allow readers to verify the data independently.

Common error

Avoid assuming that "reliable statistics" showing a correlation between two variables implies a direct causal relationship. Always consider other potential factors and conduct thorough analysis to establish causation.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

85%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "reliable statistics" functions as an adjective-noun combination, where "reliable" modifies "statistics", indicating that the statistics are trustworthy and accurate. Ludwig AI confirms its proper usage in various contexts.

Expression frequency: Very common

Frequent in

News & Media

50%

Science

25%

Encyclopedias

10%

Less common in

Wiki

5%

Formal & Business

5%

Reference

5%

Ludwig's WRAP-UP

In summary, the phrase "reliable statistics" is a grammatically correct and frequently used term indicating trustworthy and accurate data. Ludwig AI validates its common usage across various reputable sources, primarily in news, scientific, and encyclopedic contexts. When using this phrase, it's important to cite your sources and avoid misinterpreting correlation as causation. Alternatives like "trustworthy data" or "valid data" can be used depending on the context. The high frequency and consistent usage of "reliable statistics" underscore its importance in conveying credibility and accuracy in various forms of communication.

FAQs

How can I use "reliable statistics" in a sentence?

"Reliable statistics" are used to support arguments, inform decisions, and provide an accurate understanding of trends and phenomena. For example: "The policy decision was based on "reliable statistics" from multiple independent studies."

What are some alternatives to "reliable statistics"?

Alternatives include "trustworthy data", "valid data", or "dependable figures". The choice depends on the specific context and the nuance you want to convey.

Why is it important to use "reliable statistics"?

Using "reliable statistics" ensures that your analysis and conclusions are based on accurate and verifiable information, enhancing the credibility and validity of your work. Conversely, using unreliable data can lead to flawed conclusions and poor decision-making.

What makes statistics "reliable"?

Statistics are considered "reliable" when they are gathered using sound methodologies, from reputable sources, and are consistent across different datasets and studies. Transparency in data collection and analysis methods is also crucial for establishing reliability.

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Source & Trust

85%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: