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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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reject data

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "reject data" is correct and usable in written English.
It can be used in contexts where one is discarding or not accepting certain information or statistics. Example: "After reviewing the findings, we decided to reject data that did not meet our quality standards."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

7 human-written examples

Ron Bell blogged about the release of the report and emphasised the measures the company's legal department took to reject data requests whenever possible.

News & Media

BBC

The coefficients in the geographic frame make no assumption about orientation of the dipole main field, other than to reject data by geomagnetic latitude.

We use a combination of local-time, magnetic indices, and measurements of the interplanetary magnetic field (IMF) and solar wind speed in the near-Earth environment to reject data likely to be contaminated by unwanted sources.

They all use the TDS-1 data set (version '0101') and data from all three satellites, all reject data at geomagnetic latitudes poleward of °50°, and all use the Comprehensive Inversion's ionospheric and induced field model, modulated by a mean of the F10.7 index over the 45 days prior to the model date.

A residual Q-score from the training set is used to reject data that does not significantly match the principal components.

Differentially expressed clones spanning a single ORF were used for the identification of differentially expressed genes and the other clones were used in order to confirm or reject data obtained.

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Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

The data rejection rate (the number of rejected data divided by the total number of pairs) gives the quality of GNSS observations and the retrieved PWV.

After all, both camps tend to exaggerate their powers, and to fall prey to the lure of the anecdote, rejecting data and studies that do not fit what they know must be true.

Rejected data through the quality control are surrounded by black squares.

After the data and models have been ingested, the algorithm rejects data poleward of °50° geomagnetic latitude.

The grey dotted lines show rejected data, e.g. data found to be biased by bad hole conditions, red bold lines negative and blue bold lines positive fracture porosities.

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Expert writing Tips

Best practice

When using "reject data", clearly state the criteria for rejection to maintain transparency and credibility in your analysis.

Common error

Avoid rejecting data without a clear rationale. Always document the specific reasons for rejecting data to prevent accusations of bias or manipulation.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

84%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "reject data" functions as a verb phrase where "reject" is a transitive verb taking "data" as its direct object. This indicates an action performed upon the data, specifically discarding or not accepting it, as shown by Ludwig.

Expression frequency: Common

Frequent in

Science

75%

News & Media

20%

Encyclopedias

5%

Less common in

Formal & Business

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "reject data" is a grammatically correct and commonly used term, primarily in scientific and analytical contexts, to describe the act of discarding or not accepting specific information. As confirmed by Ludwig AI, its usage indicates a deliberate decision based on predefined criteria, such as data quality or reliability. Alternative phrases include "discard data", "exclude data", and "dismiss data", each offering subtle nuances in meaning. When employing "reject data", it's crucial to maintain transparency by clearly stating the reasons for rejection and avoiding bias. While predominantly used in scientific and formal settings, it also appears in news and media, underlining its relevance in various fields. Understanding the appropriate context and ethical implications of "reject data" is essential for accurate and credible analysis.

FAQs

How can I use "reject data" in a sentence?

You can use "reject data" in sentences like: "The study had to "reject data" points that fell outside of three standard deviations" or "The algorithm is designed to "reject data" with a high probability of error".

What is a good alternative to "reject data"?

Alternatives to "reject data" include "discard data", "exclude data", or "dismiss data", each carrying slightly different nuances.

When is it appropriate to "reject data"?

It's appropriate to "reject data" when the data is flawed, unreliable, or doesn't meet predefined quality standards essential for accurate analysis. Always document your reasons for clarity and transparency.

What are the ethical considerations when "rejecting data"?

Ethically, "rejecting data" should be based on objective criteria, not personal bias or desired outcomes. Selective "rejecting data" to skew results is considered scientific misconduct.

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Source & Trust

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Authority and reliability

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Expert rating

Real-world application tested

Most frequent sentences: