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.
The outlier skews the mean towards it.
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.
That would be outlier.
The outlier could affect the mean by making it drastically larger or smaller.
An outlier does affect the mean of the data. How it's affected depends on how many data points there are, how far from the data the outlier is, whether it is greater than the mean (increases mean) or less than the mean (decreases the mean).
it messes up the mean and sometimes the median. * * * * * An outlier cannot mess up the median.
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.
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.
The outlier skews the mean towards it.
An outlier can increase or decrease the mean and median It usually doesn't affect the mode
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.
That would be outlier.
The outlier could affect the mean by making it drastically larger or smaller.
It will go down; with outlier, mean is 42 without outlier, mean is 32.5
The mean. Or the mode.
The mean is changed.