outlier in the data

USAGE SUMMARY

The phrase "outlier in the data" is correct and usable in written English.
It can be used in statistical or analytical contexts to refer to a data point that differs significantly from other observations in a dataset. Example: "In our analysis, we identified an outlier in the data that skewed the results of our study."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

11 human-written examples

The non_outlier_expression filters all data instances in the stream that are not outliers and outlier_expression filters all instances of outlier in the data flow.

Journal of Internet Services and Applications

If there is no outlier in the data, the test statistic is close to 1.

Mathematical Sciences

The presence of this restorative material did not have significant effects on the segmentation results, as it was not an outlier in the data set.

Progress in Orthodontics

One outlier in the data set for anthracene was defined as the measured value of nANT differed by a factor > 2 from the predicted (n = 9).

Chemistry Central Journal

Though it must be said that with only nine of the 950 total respondents representing men in this chart, if my math is correct, it could be an outlier in the data.

TechCrunch

At the same time, the geometric distance of each experimental point (i.e. gene) from the line joining the 99th percentiles can be calculated, giving an estimate of the degree to which a given gene represents an outlier in the data.

Plosone

Human-verified similar examples from authoritative sources

Similar Expressions

49 human-written examples

A problem that we often encountered in the application of regression is the presence of an outlier or outliers in the data.

Journal of Industrial Engineering International

The PCA map of scores showed that most of the data points fell into the acceptable data space, and there is no outlier in the studied data set.

BioMed Research International

The outlier in these data is North Korea where a famine occurred over a 7 year period.

Conflict and Health

Two observations were noted 1) simple dimension reduction of repetitive or redundant measures was not possible and 2) one subject appeared to be an outlier in the covariate data but not in the gene expression data.

BMC Systems Biology

However, the difference did not reach statistical significance (p=0.50), and was caused by an outlier in the M18SA data set.

eLife

Expert writing Tips

Best practice

When reporting statistical analyses, clearly define how you identify and handle "outliers in the data" to maintain transparency and reproducibility.

Common error

Don't automatically discard "outliers in the data". Investigate them to determine if they represent genuine phenomena or data collection errors. Some outliers might reveal important insights.

Linguistic Context

The phrase "outlier in the data" functions as a noun phrase, specifically a prepositional phrase acting as a modifier. It identifies a data point that deviates significantly from the rest of the dataset. Ludwig shows examples of it being used across varied domains.

Expression frequency: Uncommon

Frequent in

Science

70%

News & Media

20%

Formal & Business

10%

Less common in

Reference

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "outlier in the data" is a grammatically correct term used to identify data points that significantly deviate from the norm. As Ludwig highlights, it is commonly found in scientific and analytical contexts. While the phrase is used to describe such data points, care must be taken in deciding whether to remove them as they may signify a data collection error or point to a relevant insight. While alternatives like "data anomaly" or "aberrant data point" exist, the original phrase is clear and widely understood in technical fields.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

outlying data point

Rephrases with emphasis on the data point's location.

data anomaly

Focuses on the irregularity of the data point.

aberrant data point

Highlights the deviation of the data point from the norm.

anomalous data

Emphasizes the unusual nature of the data.

data point outside the norm

Specifies that the data deviates from what is expected.

irregular data

Indicates data that does not conform to the usual pattern.

extreme value in the dataset

Highlights the value's position at the end of the distribution.

atypical observation

Focuses on the data point as an unusual observation.

discordant data

Emphasizes the lack of harmony with the other data.

deviant data

Highlights the data's deviation from a set course.

FAQs

How do I identify an "outlier in the data"?

Common methods include visual inspection (scatter plots, box plots), statistical tests (Grubbs' test, Dixon's Q test), and using interquartile range (IQR) rules. The choice depends on the dataset and the desired level of stringency.

What should I do if I find an "outlier in the data"?

First, verify the data point's accuracy. If it's an error, correct it or remove it. If it's valid, consider whether it significantly impacts your analysis. Report any decisions you make regarding outliers transparently.

Is it always appropriate to remove an "outlier in the data"?

No. Removing outliers can distort your results if they represent genuine data points. Consider the context of your data and the potential implications of removing outliers before doing so. Sometimes transforming the data is a better approach.

What are some alternatives to "outlier in the data"?

You can use alternatives like "data anomaly", "aberrant data point", or "anomalous data" depending on the context and desired emphasis.