Yes. If you have a large group that is very similar and 2 or 3 that are not similar, the numbers that are not the same are all outliers
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the mode is 8 more than the outlier.
Then you treat the other one(s) as you would have done if there was only one.
There cannot be an outlier in a dataset that comprises only one number!
An outlier is a number that is noticeably larger or smaller than the other numbers. Example- {3,4,5,6,7,8,9,50,3,2,5,6,7} the number 50 is the outlier. It is basically the one that does not belong.
An outlier is a number that is not around a group of number. ex. 4,5,6,7,8,100 see 100 is not near the other numbers so it is an outlier, but remember the outlier can more or less tan the others