Not necessarily.
If the data are not ordered by size, it could be anywhere in the data set.
If the data are ordered, it could be the last. But equally, it could be the first. Also, it could be the last two, three etc, or one from each end.
Essentially, an outlier is a value that is an "abnormal" distance from the "middle". The middle may be the median or the mean of the data set (usually not the mode). The "abnormal" distance is generally defined in terms of a multiple of the interquartile range (when median is used) or standard deviation (when the mean is used).
There cannot be an outlier in a dataset that comprises only one number!
there is no outlier because there isn't a data set to go along with it. so theres no outlier
An outlier is a number in a data set that is not around all the other numbers in the data. It will always affect the average; sometimes raising the average to a number higher than it should be, or lowering the average to something not reasonable. Example: Data Set - 2,2,3,5,6,1,4,9,31 Obviously 31 is the outlier. If you were to average these numbers it would be something greater than most of the numbers in your set due to the 31.
An outlier.
If a data set has an outlier, you would normally deal with it by omitting it from the average of the other values.
Yes there can be more then one outlier
Yes, any data point outside thestandard deviation its an outlier
Range subtracts the lowest value from the value in your data set. If you have an outlier, meaning a number either obviously outside the data, your range will be incorrect because one of the values will not represent the average pattern of the data. For example: if your data values include 1,2,3,4,and 17, 17 would be the outlier. The range would be 16 which is not truly representative of the rest of the data.
An outlier
No. The data set will remain the data set: they are the observations that are recorded.
Outlier
The mean is changed.