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
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.
The median and mode cannot be outliers. For small samples a mode could be an outlier.
The mean is better than the median when there are outliers.
The mean is affected the most by an outlier.
An outlier pulls the median towards it. For example 1,2,3 Median=2 1,2,3,7 Median=2.5
No, median is not an outlier.
Outlier does not affect 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.
An outlier pulls the mean towards it. It does not affect the median and only affects the mode if the mode is itself the outlier.
it messes up the mean and sometimes the median. * * * * * An outlier cannot mess up the median.
The median and mode cannot be outliers. For small samples a mode could be an outlier.
An outlier can increase or decrease the mean and median It usually doesn't affect the mode
An outlier will pull the mean and median towards itself. The extent to which the mean is affected will depend on the number of observations as well as the magnitude of the outlier. The median will change by a half-step.
If the outlier is excluded the median of the data will be higher.
The median of a normal distribution to outlier as lunar perigee is to lunar is an elliptical orbit.
The mean is better than the median when there are outliers.
The mean is affected the most by an outlier.