imprecise data

USAGE SUMMARY

"imprecise data" is a correct and usable phrase in written English.
It refers to data that is not exact or accurate, often due to a lack of specific information or measurement. You can use "imprecise data" when discussing information or statistics that are not completely reliable or specific. For example: - The results of the study were based on imprecise data, as the sample size was small and the data collection methods were not standardized. - The company's financial report was deemed unreliable due to imprecise data on their expenses and revenue. - The weather forecast was based on imprecise data, causing some unexpected changes in the predicted temperatures. - The historian's theory was based on imprecise data, leading to some flaws in their conclusions about the ancient civilization.

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Spotty and imprecise data produced many false alarms, and "people didn't believe the warnings".

The New York Times - Science

Parliamentary questions to the Department for Communities and Local Government by Paul Goodman MP only yielded out-of-date and imprecise data that didn't even say how much each recipient got.

The Guardian - Opinion

**: imprecise data.

Geochemical Transactions

To handle imprecise data in DEA, models of imprecise data envelopment analysis (IDEA) were introduced.

Journal of Industrial Engineering International

There are different estimation approaches for imprecise data.

Vietnam Journal of Computer Science

The proposed model contains different types of imprecise data and general form of weight restrictions.

Measurement

As a further enhancement, the new sampling technique is extended to processing imprecise data.

Structural Safety

On the other hand, DEA might encounter imprecise data (Saen 2009).

Journal of Industrial Engineering International

Veracity Deals with uncertain or imprecise data, its cleaning before the processing.

Journal of Big Data

Despotis and Smirlis (2002) proposed a method to deal with imprecise data in DEA models.

Journal of Industrial Engineering International

Among these, one way is to represent the imprecise data by fuzzy number.

Journal of Industrial Engineering International

Expert writing Tips

Best practice

When using "imprecise data" in your writing, specify the source of the imprecision. Explain why the data is not precise and how this might affect your analysis or conclusions.

Common error

Avoid drawing definitive conclusions based solely on "imprecise data". Acknowledge the limitations and suggest further research or alternative interpretations.

Linguistic Context

The phrase "imprecise data" functions as a noun phrase where the adjective "imprecise" modifies the noun "data". It describes the quality of the data. Ludwig AI confirms this usage with numerous examples across varied contexts.

Expression frequency: Very common

Frequent in

Science

70%

News & Media

15%

Formal & Business

15%

Less common in

Ludwig's WRAP-UP

In summary, "imprecise data" is a grammatically correct and frequently used phrase, as verified by Ludwig AI. It describes data that lacks exactness and is often encountered in scientific, news, and business contexts. When using this term, it's important to acknowledge the source of the imprecision and avoid overstating conclusions based solely on this data. Alternative phrases, such as "inaccurate information" or "approximate data", can provide more specific nuances depending on the context. Being aware of its usage, potential errors, and related phrases will enhance clarity and precision in your writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

inaccurate information

Focuses on the lack of accuracy in the data, implying a deviation from the true value.

approximate data

Suggests the data is close to the actual value but not exact.

unreliable data

Highlights the lack of dependability or trustworthiness of the data.

vague data

Emphasizes the lack of clarity and specificity in the data.

uncertain data

Indicates a degree of doubt or ambiguity associated with the data.

estimated data

Suggests that the data was calculated or inferred rather than directly measured.

rough data

Implies a lack of refinement or precision in the data.

incomplete data

Focuses on the data being partial or missing some elements.

qualified information

Signifies that the information comes with some kind of condition or limitation.

fuzzy data

Suggests that the data is defined with ambiguous boundaries.

FAQs

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

You can use "imprecise data" to describe information that is not exact or accurate. For example: "The model's predictions were affected by the "imprecise data" available at the time."

What's the difference between "imprecise data" and "inaccurate data"?

"Imprecise data" suggests a lack of exactness or detail, while "inaccurate data" implies that the information is incorrect or untrue. They both refer to a problem about the data but implies different causes.

What are some alternatives to using the phrase "imprecise data"?

Alternatives include "approximate data", "unreliable data", or "vague data", depending on the specific nuance you want to convey.

In what contexts is the term "imprecise data" commonly used?

"Imprecise data" is frequently used in scientific research, statistical analysis, and data modeling to describe datasets with inherent limitations or uncertainties.