0s are not the outlier values
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.
there is no outlier because there isn't a data set to go along with it. so theres no outlier
the most common cause of an outlier is an error in the recording of data.
it messes up the mean and sometimes the median. * * * * * An outlier cannot mess up the median.
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.
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
try this site https.google.com
No, median is not an outlier.
0s are not the outlier values
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.
No. A single observation can never be an outlier.
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.
There is no universally agreed definition of an outlier. One conventional definition of an outlier classifies an observations x as an outlier if: x > Q3 + 1.5*IQR = Q3 + 1.5*(Q3 - Q1) A similar definition applies to outliers that are too small. So, to find the maximum that is not an outlier, you need to find the upper and lower quartiles (Q3 and Q1 respectively) and then find the largest observation that is smaller than Q3 + 1.5*IQR = Q3 + 1.5*(Q3 - Q1)
The outlier is 558286.
1,2,3,4,20 20 is the outlier range
there is no outlier because there isn't a data set to go along with it. so theres no outlier