testing for discrepancies

USAGE SUMMARY

The phrase "testing for discrepancies" is correct and usable in written English.
It can be used in contexts where you are checking or examining something for inconsistencies or differences. Example: "The quality control team is responsible for testing for discrepancies in the product specifications before final approval."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

When additional sources of variation are included in model, the proposed Bayes factor takes advantage of the joint analysis for all the parameters in the model and simultaneous testing for discrepancies between residual variances of interest.

BMC Genomics

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

The BH14680 tree topology was tested for discrepancies with species trees inferred from MLST data.

BMC Evolutionary Biology

We add a second population of P. acuta to test for discrepancies due to paraphyly, such as have been the concern of the proponents of phylogenetic species concepts.

BMC Evolutionary Biology

Since our test is one-sided, we did not test for discrepancies in the other direction (i.e., we did not look for sex selection in the disfavour of boys).

BMC Pregnancy and Childbirth

Part of this discrepancy could be due to different groups testing for stemness using different assays.

Breast Cancer Research

The trial stem was reduced to the acetabular component, after which we tested for leg length discrepancy, range of movement (ROM), impingement, and sciatic nerve tension.

Archives of Orthopaedic and Trauma Surgery

Using an extended taxon sampling, we test for presence of significant rate discrepancies within and between these clades and test our a priori hypothesis that such rate discrepancies may be explained by shifts in moisture regime or other environmental conditions.

BMC Evolutionary Biology

The discrepancy between scores from two tasks observed for an individual patient is tested for a significant deviation from the expected discrepancy in a control sample.

Behavioral and Brain Functions

While this mismatch happened most frequently during nighttime conditions and may be explained by the above-mentioned large relative measurement uncertainties, generally testing data for such discrepancies may provide a valuable additional quality check, for example during the standardized processing of energy flux data in the FLUXNET network of eddy covariance sites (Papale et al., 2006).

Agricultural and Forest Meteorology

The Weibull distribution model provided good individual fits for the different combinations of temperature pH tested, with discrepancy factors, Df, coming close to 25% for most cases.

International Journal of Food Microbiology

We further conducted trend tests for the discrepancies in LE5 between the reference county and the industrialized county for male and female residents in these two counties respectively.

BMC Public Health

Expert writing Tips

Best practice

When "testing for discrepancies", clearly define the expected standard or baseline against which deviations are measured. This ensures accurate and meaningful results.

Common error

Avoid "testing for discrepancies" without first establishing objective criteria for what constitutes a discrepancy. Vague or subjective criteria can lead to inconsistent and unreliable findings.

Linguistic Context

The phrase "testing for discrepancies" functions as a verbal phrase indicating an action of examining data or information to identify inconsistencies. Ludwig AI validates this usage, providing examples where the phrase is used in similar contexts.

Expression frequency: Common

Frequent in

Science

40%

News & Media

30%

Formal & Business

30%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, the phrase "testing for discrepancies" is a grammatically correct and frequently used expression, as affirmed by Ludwig AI. It is commonly employed in formal and scientific contexts to describe the process of identifying inconsistencies or variations in data, reports, or processes. While alternatives such as "checking for inconsistencies" and "verifying for differences" exist, the choice depends on the specific context and desired emphasis. When using this phrase, it is essential to define clear criteria for what constitutes a discrepancy to ensure accurate and reliable results.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

checking for inconsistencies

Focuses on verifying the absence of contradictions or logical flaws.

verifying for differences

Emphasizes confirming the presence of variations or divergences.

examining for variations

Highlights a detailed investigation into possible deviations.

assessing for anomalies

Focuses on identifying irregularities or unusual occurrences.

investigating for irregularities

Implies a formal inquiry into deviations from expected norms.

analyzing for deviations

Stresses a structured breakdown to find departures from a standard.

evaluating for mismatches

Highlights the process of assessing a lack of correspondence between items.

searching for contradictions

Focuses on identifying statements or facts that are mutually opposed.

looking for divergences

Emphasizes seeking out points where things deviate from each other.

identifying inconsistencies

Focuses on the act of pinpointing elements that do not align.

FAQs

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

You can use "testing for discrepancies" to describe the process of identifying inconsistencies or variations in data, results, or reports. For example: "The audit involves "testing for discrepancies" in financial records".

What are some alternatives to "testing for discrepancies"?

Some alternatives include "checking for inconsistencies", "verifying for differences", or "examining for variations", depending on the specific context.

In what contexts is "testing for discrepancies" most commonly used?

"Testing for discrepancies" is frequently used in scientific research, data analysis, quality control, and auditing to ensure accuracy and reliability.

Why is "testing for discrepancies" important?

"Testing for discrepancies" is crucial for identifying errors, fraud, or inconsistencies that could lead to incorrect conclusions or decisions. Addressing these discrepancies improves the validity and integrity of the results.