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This guide is for an old version of Prism. Browse the latest version or update Prism

When analyzing data, you'll sometimes find that one value is far from the others. Such a value is called an outlier, a term that is usually not defined rigorously. This section discusses the basic ideas of identifying outliers. Look elsewhere to learn how to identify outliers in Prism from a column of data, or while fitting a curve with nonlinear regression.

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