The Mean is the average of a given set of values. The Median is the value that has
the same number of smaller values than the number of higher values, it is in the
middle of them. In a symmetrical distribution the Mean is equal to the Median. In an
asymmetrical distribution they have different value.
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Median and mode are in mathematics.
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.
First, I will give an example, similar to your question: -11000 -9000 +44000 mean = 8,000 and median = -9000. Symmetrical distributions after infinite sampling will show no difference in mean and median. Large differences are possible with small sample sizes even with symmetrical distributions. If the sample is large and the difference is large, this infers that the distribution is asymmetrical. The skewness of the distribution can be calculated.
Median is only meaningful with a set of data. The median of five would just be five. Similar to asking what the average of 5 is.