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Determining Outliers in Statistics - ThoughtCo

Some outliers show extreme deviation from the rest of a data set. In these cases we can take the steps from above, changing only the number that we multiply the IQR by, and define a certain type of outlier. If we subtract 3.0 x IQR from the first quartile, any point that is below this number is called a strong outlier.

https://www.thoughtco.com/what-is-an-outlier-3126227

7.1.6. What are outliers in the data?

The outlier is identified as the largest value in the data set, 1441, and appears as the circle to the right of the box plot. Outliers may contain important information: Outliers should be investigated carefully. Often they contain valuable information about the process under investigation or the data gathering and recording process.

https://www.itl.nist.gov/div898/handbook/prc/section1/prc16.htm

Definition and examples of outlier | define outlier

Definition Of Outlier. An outlier is an element of a data set that distinctly stands out from the rest of the data. Examples of Outlier. An outlier in the list 212, 361, 201, 203, 227, 221, 188, 192, 198 is 361 An outlier in the list 14, 9, 17, 19, 42, 22, 35, 99, 32, 2 is 99. Video Examples: Statistics - How to find outliers

http://www.icoachmath.com/math_dictionary/Outlier.html

How to Calculate Outliers: 10 Steps (with Pictures) - wikiHow

In statistics, an outlier is a data point that significantly differs from the other data points in a sample. Often, outliers in a data set can alert statisticians to experimental abnormalities or errors in the measurements taken, which may cause them to omit the outliers from the data set.

https://www.wikihow.com/Calculate-Outliers

Outlier - Wikipedia

In statistics, an outlier is a data point that differs significantly from other observations. An outlier may be due to variability in the measurement or it may indicate experimental error; the latter are sometimes excluded from the data set. An outlier can cause serious problems in statistical analyses.

https://en.wikipedia.org/wiki/Outlier

How to Use Statistics to Identify Outliers in Data

That an outlier is an unlikely observation in a dataset and may have one of many causes. That standard deviation can be used to identify outliers in Gaussian or Gaussian-like data. That the interquartile range can be used to identify outliers in data regardless of the distribution.

https://machinelearningmastery.com/how-to-use-statistics-to-identify-outliers-in-data/

Outlier in Statistics: Definition & Explanation - Video

An outlier is any value that is numerically distant from most of the other data points in a set of data. Learn about the sources of outliers, histograms, scatterplots, the number line, and more.

https://study.com/academy/lesson/outlier-in-statistics-definition-lesson-quiz.html

How to Deal with Outliers in Your Data | CXL

How do you detect outliers in your data? How to detect outliers in data. Data visualization is a core discipline for analysts and optimizers, not just to better communicate results with executives, but to explore the data fully. As such, outliers are often detected through graphical means, though you can also do so by a variety of statistical

https://cxl.com/blog/outliers/

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