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An outlier is an extreme point of data on the plot. It is significantly greater or less than the rest of the data. Example: *50% of the class got 80/100 points on the test *49% of the class got 78/100 points on the test. *However, only 1% of the class got 99/100 points on the test. The small percentage that got the 99 would be the extreme 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.
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.
1,2,3,4,20 20 is the outlier range