Explain Outlier.

1.	Explain Outlier.
Answer» In a dataset, Outliers are VALUES that differ significantly from the MEAN of characteristic features of a dataset. With the help of an outlier, we can determine EITHER variability in the measurement or an experimental error. There are TWO kinds of outliers i.e., Univariate and Multivariate. The graph depicted below SHOWS there are four outliers in the dataset.

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