The median is a measure of central tendency that represents the midpoint of a dataset. It is particularly useful when data include outliers or are skewed, as it provides a more reliable indication of a “typical” value compared to the mean.
As one of the three main measures of central tendency—alongside the mean and mode—the median is widely used in statistics and data analysis. Its robustness against extreme values makes it essential in fields where distributions are often uneven, such as economics and social sciences.
To calculate the median:
Advantages of the median:
The median is widely applied across disciplines:
Example:
Suppose we have the dataset:
5, 7, 8, 12, 15, 18, 50
So the median = 12.
Now consider an even-sized dataset:
3, 5, 8, 12, 14, 2
Relevance / Impact
The median is a valuable statistical tool for describing central tendency, especially when datasets are non-normal or contain outliers. Its resistance to distortion makes it one of the most reliable indicators for decision-making, reporting, and policy analysis.
See also