An outlier can increase or decrease the mean and median It usually doesn't affect the mode
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).
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.
The mean is "pushed" in the direction of the outlier. The standard deviation increases.
The answer is 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.
The outlier skews the mean towards it.
An outlier can increase or decrease the mean and median It usually doesn't affect the mode
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).
The mean. Or the mode.
it messes up the mean and sometimes the median. * * * * * An outlier cannot mess up the median.
The mean is better than the median when there are outliers.
The outlier is capable of affecting mean median mode and range it affects mean because the average has changed if affects median because you have to cross out 1 more letter it doesn't affect mode it does affect range because an outlier is a number that i far away from the other numbers * * * * * It does not affect 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.
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.