rough results

USAGE SUMMARY

"rough results" is a correct and usable phrase in written English.
It is typically used when discussing preliminary or approximate outcomes or findings. For example: "The rough results of the experiment showed a slight correlation between X and Y, but further research is needed to confirm these findings." In this example, "rough results" refers to the initial or initial findings of the experiment, which may not be exact or final. The phrase can also be used in other contexts, such as a rough estimate or rough draft.

✓ Grammatically correct

Science

News & Media

Wiki

Human-verified examples from authoritative sources

Exact Expressions

4 human-written examples

I've been in this situation before, at club level, and I know that leading a team through a patch of rough results is demanding.

The Guardian - Sport

The first stages of this system provide a reliable detection of image areas that potentially contain pedestrians; following stages are devoted to refine and filter these rough results to validate the pedestrians presence.

EURASIP Journal on Advances in Signal Processing

In summary, despite the diversity of this mutation range, the optimum mutation rate was essentially determined by population size and mutation effects (Note: even larger orders of ranges gave very rough results and are not shown).

BMC Evolutionary Biology

Expect rough results, though.

WikiHow

Human-verified similar examples from authoritative sources

Similar Expressions

56 human-written examples

Rick Santorum got a rough result in the Washington caucuses on Saturday, finishing third in a state he had seemed to have a reasonable shot of winning.

The New York Times

A symmetry-based approach is further used to refine this rough result in order to resize bounding boxes or to separate bounding boxes that can contain more pedestrians.

EURASIP Journal on Advances in Signal Processing

The analysis of in-situ data indicates that the conventional thrust force estimation model based on an empirical equation gives rather rough result.

Automation in Construction

The spherical particles of WPU dispersed homogeneously in PVA matrix and with increasing WPU content, the fractured surface became rough, resulting in the brittle ductile transition.

Composites Part B: Engineering

The underlying uncertainty of covering rough sets results from the roughness of granulation of coverings.

Information Sciences

(b) Dataset 2. Figure 4 shows several rough segmentation results.

Robotics and Biomimetics

We employed the same metric, ZSI (Zijdenbos similarity index) [16], as used in [8] to test the accuracy of the rough segmentation results in different color spaces.

Robotics and Biomimetics

Expert writing Tips

Best practice

When using "rough results", clarify the limitations or potential inaccuracies associated with them. For example, state the sample size or methodology used to obtain the results.

Common error

Avoid making strong claims or decisions based solely on "rough results". Always acknowledge their tentative nature and the need for further investigation.

Linguistic Context

The phrase "rough results" functions as a noun phrase where the adjective "rough" modifies the noun "results". It indicates that the results are preliminary, approximate, or not yet refined. This usage is supported by Ludwig AI's analysis, confirming its acceptability.

Expression frequency: Uncommon

Frequent in

Science

40%

News & Media

30%

Wiki

30%

Less common in

Formal & Business

0%

Encyclopedias

0%

Social Media

0%

Ludwig's WRAP-UP

In summary, "rough results" is a grammatically sound and usable phrase that refers to preliminary or approximate findings. As indicated by Ludwig AI, it's suitable for use across various contexts, including science, news, and general writing. While not extremely frequent, its meaning is clear and widely understood. When employing this phrase, remember to clarify the limitations of the results and avoid drawing definitive conclusions based solely on them. Alternatives like "preliminary findings", "approximate outcomes", and "initial estimates" can be used depending on the specific nuance you wish to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

preliminary findings

Focuses on the early stage and incomplete nature of the results.

approximate outcomes

Highlights that the results are not exact but close to the actual value.

initial estimates

Emphasizes the beginning phase and the potentially imprecise nature of the results as an assessment.

crude approximations

Implies a lack of precision and sophistication in the results.

early data

Highlights the temporal aspect, referring to results obtained at an early stage.

tentative conclusions

Focuses on the provisional and unconfirmed nature of the results.

raw data

Emphasizes that the results have not been processed or refined.

unrefined outcomes

Highlights the lack of polishing and potential for improvement in the results.

imprecise measurements

Focuses on the lack of accuracy in the way the results were obtained.

sketchy figures

Suggests a lack of detail and potential unreliability in the results.

FAQs

How can I use "rough results" in a sentence?

You can use "rough results" to describe preliminary findings. For example, "The "rough results" suggest a positive trend, but more data is needed."

What's a good alternative to "rough results"?

Depending on the context, you could use "preliminary findings", "approximate outcomes", or "initial estimates".

Are "rough results" the same as "final results"?

No, "rough results" are not the same as final results. "Rough results" are preliminary and may not be completely accurate, while final results are the refined and confirmed outcomes of a study or process.

In what contexts is it appropriate to use the phrase "rough results"?

It's appropriate to use "rough results" in contexts where you want to convey that the information is preliminary, not fully accurate, or subject to change. This is common in scientific research, data analysis, and project management.