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  1. Dictionary
    outlier
    /ˈaʊtˌlʌɪə/

    noun

    • 1. a person or thing situated away or detached from the main body or system: "a western outlier in the Andaman archipelago"

    More definitions, origin and scrabble points

  2. The meaning of OUTLIER is a person whose residence and place of business are at a distance. How to use outlier in a sentence.

  3. en.wikipedia.org › wiki › OutlierOutlier - Wikipedia

    Box plot of data from the Michelson–Morley experiment displaying four outliers in the middle column, as well as one outlier in the first column. In statistics, an outlier is a data point that differs significantly from other observations.

  4. Aug 24, 2021 · What is an Outlier in Statistics? A Definition. In simple terms, an outlier is an extremely high or extremely low data point relative to the nearest data point and the rest of the neighboring co-existing values in a data graph or dataset you're working with.

  5. OUTLIER definition: 1. a person, thing, or fact that is very different from other people, things, or facts, so that it…. Learn more.

  6. Outlier definition: something that lies outside the main body or group that it is a part of, such as a cow far from the rest of the herd, or a distant island belonging to a cluster of islands. See examples of OUTLIER used in a sentence.

  7. Nov 30, 2021 · Outliers are values at the extreme ends of a dataset. Some outliers represent true values from natural variation in the population. Other outliers may result from incorrect data entry, equipment malfunctions, or other measurement errors.

  8. Apr 2, 2023 · In some data sets, there are values ( observed data points) called outliers. Outliers are observed data points that are far from the least squares line. They have large "errors", where the "error" or residual is the vertical distance from the line to the point. Outliers need to be examined closely.

  9. Oct 4, 2022 · Outliers are extreme values that differ from most other data points in a dataset. They can have a big impact on your statistical analyses and skew the results of any hypothesis tests. It’s important to carefully identify potential outliers in your dataset and deal with them in an appropriate manner for accurate results.

  10. OUTLIER meaning: 1. a person, thing, or fact that is very different from other people, things, or facts, so that it…. Learn more.

  11. Outliers are observed data points that are far from the least-squares line. They have large errors, where the error or residual is not very close to the best-fit line. Outliers need to be examined closely. Sometimes, they should not be included in the analysis of the data, like if it is possible that an outlier is a result of incorrect data.

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