check for discrepancies

USAGE SUMMARY

The phrase "check for discrepancies" is correct and usable in written English.
You can use it when you want to emphasize the importance of searching for differences between two figures, facts, statements, or opinions. For example, "Before submitting the report, it's important to check for discrepancies between the data in the spreadsheet and the data in the online database."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

11 human-written examples

If it is not, check for discrepancies in Reconciliation Report.

Massachusetts Institute of Technology

Prospective employers will check for discrepancies between your CV and LinkedIn profile.

The Guardian

Simple line flow balances are used to check for discrepancies on hourly, daily, or weekly bases.

Pipeline Rules of Thumb Handbook Quick and accurate solutions to your everyday pipeline problems

In addition to looking for credit competition and course requirements, PCSB auditors check for discrepancies between students' report cards, grade change forms and transcripts.

The Washington Post

Vast rooms with hundreds of cubicles are filled with young Indians who transfer data from doctors' clinical-trial reports into databases, check for discrepancies and errors, and provide feedback to doctors within days.Some Indian drug companies saw the new patent change coming years ago and realised that future growth would come from innovation, not imitation.

The Economist

We looked at residuals to check for discrepancies between the proposed model and the estimated model.

International Journal of STEM Education

Human-verified similar examples from authoritative sources

Similar Expressions

49 human-written examples

However asymptotic distribution free estimation was also applied to check for discrepancy in overall results that might result from deviation of variables from multivariate normal distribution.

Health and Quality of Life Outcomes

Two review authors (DH, HJ) will independently extract data using pre-defined data extraction forms (to be piloted on a small subset of studies first) and then cross-check for discrepancies.

Cochrane Database of Systematic Reviews

Pairs of data-extraction forms will be checked for discrepancies.

BMC Pregnancy and Childbirth

Initial inspection of the data checked for discrepancies in coding, and explored patterns of missing data.

BMC Palliative Care

Genotype calls and clusters were manually checked for discrepancies and doubtful calls were rejected.

Annals of the Rheumatic Diseases

Expert writing Tips

Best practice

When writing reports or presenting data, always "check for discrepancies" between your initial findings and final conclusions to ensure logical consistency.

Common error

Avoid the pitfall of assuming that because a system is automated or a process is standardized, it is error-free. Always "check for discrepancies", regardless of perceived reliability.

Linguistic Context

The phrase "check for discrepancies" functions as an instruction or recommendation to carefully examine and compare different pieces of information to identify any inconsistencies. Ludwig AI highlights that this phrase is grammatically correct and usable in written English.

Expression frequency: Uncommon

Frequent in

Science

50%

News & Media

40%

Academia

10%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "check for discrepancies" is a grammatically correct and usable English expression, as affirmed by Ludwig AI, used to emphasize the importance of comparing different sources of information to uncover inconsistencies. While "check for discrepancies" is deemed correct, alternatives such as "verify inconsistencies" or "look for inconsistencies" can also be used depending on the desired level of formality. Predominantly found in scientific and news contexts, it serves to ensure accuracy and prevent errors across various professional domains. Always remember to "check for discrepancies" to maintain the integrity of your work.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

look for inconsistencies

Swaps "check" with "look", keeping the meaning of searching to find potential errors, less formal.

verify inconsistencies

This alternative replaces "check" with "verify" focusing on confirming the presence of inconsistencies; more formal.

find mismatches

Focuses on identifying instances where things do not correspond, more specific and less formal.

identify differences

This option uses broader terms, highlighting the act of finding any kind of difference, not only errors.

investigate variances

Uses a stronger verb and a more specific noun, suggesting a deeper examination of differences, more formal.

reconcile differences

Emphasizes resolving differences, rather than simply finding them, implying a need to correct the data.

audit for errors

Refers to auditing, highlighting a formal review or exam for detecting errors.

validate against errors

The focus here is on errors and validating for confirming any mistakes, mostly used in technical context.

detect variations

This alternative refers to detecting any variations, which could be normal variations or abnormal variations.

assess the gaps

This alternative uses the word gap to denote difference, especially used when you have stages.

FAQs

How can I use "check for discrepancies" in a sentence?

You can use "check for discrepancies" to emphasize the importance of comparing different sets of data or information, as in, "The auditor will /s/verify+inconsistencies target="_blank" rel="nofollow">verify inconsistencies in the financial records".

What is a more formal way to say "check for discrepancies"?

A more formal alternative to "check for discrepancies" would be "verify inconsistencies" or "validate the data against errors".

What's the difference between "check for discrepancies" and "look for inconsistencies"?

While both phrases are similar, "check for discrepancies" implies a more thorough and systematic comparison, while "look for inconsistencies" can suggest a more general search for differences.

What is the best way to "check for discrepancies" in a large dataset?

When working with large datasets, use software tools and automated scripts to "check for discrepancies" efficiently. This approach minimizes manual errors and ensures comprehensive "validation against errors".