It is the biggest or lowest number out of the set. The number would be way different than the rest.
Example:
14 12 52 17 19
The outlier would be 52 because it is the biggest number.
Example:
59, 42, 77, 65, 10
The outlier would be 10 because it is the lowest number.
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0s are not the outlier values
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.
there is no outlier because there isn't a data set to go along with it. so theres no outlier
the most common cause of an outlier is an error in the recording of data.
it messes up the mean and sometimes the median. * * * * * An outlier cannot mess up the median.