The term for a point that varies greatly from all other data points is known as an <u>OUTLIER</u>
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Explanation:
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.
An outlier can cause serious problems in statistical analyses.
An outlier is an observation that lies an abnormal distance from other values in a random sample from a population. In a sense, this definition leaves it up to the analyst to decide what will be considered abnormal.
A point that falls outside the data set's inner fences is classified as a minor outlier, while one that falls outside the outer fences is classified as a major outlier.
The data here appear to come from a linear model with a given slope and variation except for the outlier which appears to have been generated from some other model.
Outliers can occur by chance in any distribution, but they often indicate either measurement error or that the population has a heavy-tailed distribution.
