Then you treat the other one(s) as you would have done if there was only one.
the mode is 8 more than the outlier.
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
Yes there can be more then one outlier
Of course. In a large sampling of data, a relatively small group of outliers is possible.
Yes.
Yes, any data point outside thestandard deviation its an outlier
the mode is 8 more than the outlier.
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!