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Can a outlier be zero?
0s are not the outlier values
What would happen if a outlier was removed from the mean?
The answer depends on the nature of the outlier. Removing a very small outlier will increase the mean while removing a large outlier will reduce the mean.
What is the outlier in this set of data 10064635862?
there is no outlier because there isn't a data set to go along with it. so theres no outlier
How do you get an outlier?
the most common cause of an outlier is an error in the recording of data.
How does an outlier affect data?
it messes up the mean and sometimes the median. * * * * * An outlier cannot mess up the median.
Is lunds test for outlier detection is equal to Grubbs test for outlier detection?
No
Is Median an outlier?
No, median is not an outlier.
Can a outlier be zero?
0s are not the outlier values
Would a mean be smaller or larger if you leave out an outlier?
Depends on whether the outlier was too small or too large. If the outlier was too small, the mean without the outlier would be larger. Conversely, if the outlier was too large, the mean without the outlier would be smaller.
Is 101 a outlier?
No. A single observation can never be an outlier.
What would happen if a outlier was removed from the mean?
The answer depends on the nature of the outlier. Removing a very small outlier will increase the mean while removing a large outlier will reduce the mean.
How do you determine how the outlier affects the mean median mode and range?
Calculate the mean, median, and range with the outlier, and then again without the outlier. Then find the difference. Mode will be unaffected by an outlier.
What is the outlier of 558286 94 96 99?
The outlier is 558286.
What is an example of a outlier range?
1,2,3,4,20 20 is the outlier range
What is the outlier in this set of data 10064635862?
there is no outlier because there isn't a data set to go along with it. so theres no outlier
If you take off the outlier does it make the mean change?
Yes, it will. An outlier is a data point that lies outside the normal range of data. This means that if it is factored in the mean will move in the direction the outlier is, really high if the outlier was high, and really low if the outlier was low.
How do you get an outlier?
the most common cause of an outlier is an error in the recording of data.
