Of course. In a large sampling of data, a relatively small group of outliers is possible.
Yes there can be more then one outlier
Yes.
Yes, any data point outside thestandard deviation its an outlier
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.
It depends on how many points you have, if you have 6 or 7 then only one outlier is really possible but if you have done 20 points the 2 outliers could be acceptable, but should still be avoided.
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.
Outlier: an observation that is very different from the rest of the data.How does this affect the data: outliers affect data because it means that your calculations might be off which makes it a possibility that more than the outlier is off.
There cannot be an outlier in a dataset that comprises only one number!
An outlier.
An outlier does affect the mean of the data. How it's affected depends on how many data points there are, how far from the data the outlier is, whether it is greater than the mean (increases mean) or less than the mean (decreases the mean).
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