insignificant data

USAGE SUMMARY

The phrase "insignificant data" is correct and usable in written English.
It can be used when referring to data that is deemed unimportant or not relevant to the analysis or conclusions being drawn. Example: "After reviewing the results, we found that the insignificant data did not affect our overall findings."

✓ Grammatically correct

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

22 human-written examples

Promotional materials for the company put it this way: "When enough seemingly insignificant data is analyzed against billions of data elements, the invisible becomes visible".

The New York Times

An educator is truly interested in the process of the student thinking critically, analyzing data, determining what is relevant data from insignificant data.

The New York Times

Zynga's executives brushed aside Friday's tepid reception, calling it an insignificant data point in the context of the company's grander goals.

The New York Times

Although prior researchers deemed temperature insignificant, data indicated a positive correlation.

Construction and Building Materials

Also, the photogeneration of iodine in absence of the oxides is insignificant (data not presented).

Chemistry Central Journal

The effect of two independent variables on zeta potential of both B-SLN and C-SLN was found to be insignificant (data not shown) (Padamwar and Pokharkar 2006).

Cancer Nanotechnology

Human-verified similar examples from authoritative sources

Similar Expressions

38 human-written examples

But for the unsuspecting government official, even the compromise of seemingly insignificant personal data can, in the end, have adverse impacts.

TechCrunch

In other words, the relative overhead introduced by ONDMs is insignificant, when data needs to be searched for on-disk.

Journal of Internet Services and Applications

The purpose of this study is to develop and evaluate a 2-band EVI (EVI2), without a blue band, which has the best similarity with the 3-band EVI, particularly when atmospheric effects are insignificant and data quality is good.

Remote Sensing of Environment

However, since the effect of the nested factor was found to be insignificant, the data were re-analyzed using a single-factor ANOVA.

Plosone

Although the aforementioned potential limitations are not insignificant, the data compiled in the MPS I Registry are clearly valuable for drawing inferences and generating hypotheses.

Genetics in Medicine

Expert writing Tips

Best practice

When presenting research, clearly justify why certain data points were deemed "insignificant data" and excluded from the final analysis, ensuring transparency and preventing accusations of cherry-picking.

Common error

Avoid prematurely dismissing data as "insignificant data" without thorough examination. Ensure that seemingly minor data points are not masking underlying trends or correlations that could impact your analysis.

Linguistic Context

The phrase "insignificant data" functions as a noun phrase, where the adjective "insignificant" modifies the noun "data". It is used to describe data points that are deemed unimportant or of little consequence in a particular context. Ludwig AI confirms its correct usage.

Expression frequency: Common

Frequent in

Science

44%

News & Media

28%

Wiki

4%

Less common in

Formal & Business

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

In summary, the phrase "insignificant data" is grammatically sound and commonly used, predominantly in scientific and news contexts to denote data points that have minimal impact or relevance. As Ludwig AI confirms, the phrase is used correctly across various sources. While seemingly contradictory, the concept of "insignificant data" is crucial in research and analysis for focusing on key findings and avoiding distortion by less impactful elements. It is important, however, not to prematurely dismiss data as insignificant without thorough evaluation, as this could lead to overlooking important trends. Alternatives like "unimportant data" or "trivial data" can be used to express similar meanings. Always justify the exclusion of what you label as "insignificant data" to ensure transparency and maintain analytical rigor.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

unimportant data

Replaces "insignificant" with a more direct synonym, focusing on the lack of importance.

trivial data

Substitutes "insignificant" with "trivial", suggesting the data is of little value or consequence.

negligible data

Emphasizes that the data has a small or nonexistent impact.

immaterial data

Indicates the data is not pertinent or relevant to the matter at hand.

irrelevant data

Highlights the data's lack of connection or applicability to the context.

meaningless data

Suggests the data lacks purpose or interpretive value.

minimal data

Focuses on the small quantity or limited scope of the data, implying a lack of significance.

inconsequential data

Highlights the lack of consequence or impact of the data.

unsubstantial data

Emphasizes the lack of solid basis or importance within the data.

data of little importance

Rephrases the concept to explicitly state that the data has minimal value.

FAQs

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

You might say, "We disregarded the "insignificant data" to focus on the key findings." Or, "The analysis revealed that the anomaly was due to "insignificant data" entry errors."

What are some alternatives to saying "insignificant data"?

Depending on the context, you could use phrases such as "unimportant data", "trivial data", or "negligible data".

When is it appropriate to discard "insignificant data"?

It's appropriate to discard "insignificant data" after careful consideration, when the data demonstrably does not contribute to the analysis, is erroneous, or introduces bias. Always document the reason for exclusion.

What's the difference between "insignificant data" and "irrelevant data"?

"Insignificant data" might have some bearing on the subject but is too small to matter, while "irrelevant data" has no bearing on the subject at all. One has negligible impact; the other is simply unrelated.