The mean is affected the most by an outlier.
Mode and Median
The median is the value which seperates the upper and lower half of a set of numbers. The mean is the average value between two or more numbers. In calculating a set of numbers, specifically a set of averages, the median may indeed be effected by the mean.
well, they're both affected. you will get both answers wrong if you make a mistake so it doesnt matter which one is more important, just pay attention
An outlier pulls the median towards it. For example 1,2,3 Median=2 1,2,3,7 Median=2.5
The median is least affected by an extreme outlier. Mean and standard deviation ARE affected by extreme outliers.
The mean is affected the most by an outlier.
Mode and Median
The mean is most affected. Mode and Median are not influenced as much by outliers.
Both the mean and median represent the center of a distribution. Calculating the mean is easier, but may be more affected by outliers or extreme values. The median is more robust.
Of the mean, median and mode the mean would be most affected.
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.
Mode and Median
Mode and median.
The median is the value which seperates the upper and lower half of a set of numbers. The mean is the average value between two or more numbers. In calculating a set of numbers, specifically a set of averages, the median may indeed be effected by the mean.
Median, mode, quartiles, quintiles and so on, except when you get to very large number of percentiles.
An outlier.