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How do you identify Outlier?

Updated: 9/21/2023
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12y ago

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  • Outliers are a number that are way out of the data range. They are pretty obvious to pick out; for example: 1,3,4,4,6,3,2,8,26,5,2,1 The outlier would be the number 26.
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13y ago
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Q: How do you identify Outlier?
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Related questions

What are Deviation-Based Outlier Detection?

Deviation-based outlier detection does not use the statistical test or distance-based measures to identify exceptional objects. Instead, it identifies outliers by examining the main characteristics of objects in a group.


How you find suspected outlier when you have mean?

Having only the mean is not sufficient to identify outliers. You need some measure of dispersion.


Is Median an outlier?

No, median is not an outlier.


Can a outlier be zero?

0s are not the outlier values


Would a mean be smaller or larger if you leave out an outlier?

Depends on whether the outlier was too small or too large. If the outlier was too small, the mean without the outlier would be larger. Conversely, if the outlier was too large, the mean without the outlier would be smaller.


Is 101 a outlier?

No. A single observation can never be an outlier.


How does the outlier affect the median?

Outlier does not affect the median.


What would happen if a outlier was removed from the mean?

The answer depends on the nature of the outlier. Removing a very small outlier will increase the mean while removing a large outlier will reduce the mean.


How do you determine how the outlier affects the mean median mode and range?

Calculate the mean, median, and range with the outlier, and then again without the outlier. Then find the difference. Mode will be unaffected by an outlier.


What is the outlier of 558286 94 96 99?

The outlier is 558286.


What is an example of a outlier range?

1,2,3,4,20 20 is the outlier range


What is the outlier in this set of data 10064635862?

there is no outlier because there isn't a data set to go along with it. so theres no outlier