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.
The mean is affected the most by an outlier.
The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5
The mean is better than the median when there are outliers.
median is the middle number mean is average mode is most median is middle range is high - low
the median and mode are but the mean is not
The mean is affected the most by an outlier.
The median is least affected by an extreme outlier. Mean and standard deviation ARE affected by extreme 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.
The mean is most affected. Mode and Median are not influenced as much by outliers.
The mean deviation from the median is equal to the mean minus the median.
The mean is the measure of central tendency that is most affected by a few large or small numbers. The median is more robust for extreme values.
No. That is one of the reasons it is used in preference to the mean.No, it is not.
The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5
When someone asks a for an "average" value, that can mean a couple of different things. "Mean," "median," and "mode" are all values that are used to relate what the "center" or "average" of a distribution of values is. Each one has their advantages and disadvantages. The median is the value that divides the distribution exactly into halves - 50% is below it, and 50% above it. The median may not actually occur in the distribution, but it is the "balance point" of the distribution. The main advantage of the median is that it is not affected by outliers as the mean is and the mode can be. In distributions with a clear skew, such as housing prices or wages, using the median provides a much better estimate of what the "average" is.
who discovered mean median and mode