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.
Not sure about an outlair, but an outlier in a set of values is one that is significantly smaller or greater than the others. There is no formally agreed definition for an outlier.
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.
an outlier can be found with this formula... Q3-Q1= IQR( inner quartile range) IQR*1.5=x x+Q3= anything higher than this # is an outlier Q1-x= anything smaller than this # is an outlier
i can not tell you need to space it out and to find outlier try using a box and whisker plot. and if it is just one number there is no outlier
There cannot be an outlier in a dataset that comprises only one number!