Editing Median (section)

===Medians of particular distributions===	
The medians of certain types of distributions can be easily calculated from their parameters; furthermore, they exist even for some distributions lacking a well-defined mean, such as the [[Cauchy distribution]]:
* The median of a symmetric [[unimodal distribution]] coincides with the mode.
* The median of a [[symmetric distribution]] which possesses a mean ''μ'' also takes the value ''μ''.
** The median of a [[normal distribution]] with mean ''μ'' and variance ''σ''<sup>2</sup> is&nbsp;μ. In fact, for a normal distribution, mean = median = mode.
** The median of a [[uniform distribution (continuous)|uniform distribution]] in the interval [''a'',&nbsp;''b''] is (''a''&nbsp;+&nbsp;''b'')&nbsp;/&nbsp;2, which is also the mean.
* The median of a [[Cauchy distribution]] with location parameter ''x''<sub>0</sub> and scale parameter ''y'' is&nbsp;''x''<sub>0</sub>, the location parameter.
* The median of a [[Power law|power law distribution]] ''x''<sup>−''a''</sup>, with exponent ''a''&nbsp;>&nbsp;1 is 2<sup>1/(''a''&nbsp;−&nbsp;1)</sup>''x''<sub>min</sub>, where ''x''<sub>min</sub> is the minimum value for which the power law holds<ref>{{cite journal | arxiv=cond-mat/0412004 | doi=10.1080/00107510500052444 | title=Power laws, Pareto distributions and Zipf's law | year=2005 | last1=Newman | first1=M. E. J. | journal=Contemporary Physics | volume=46 | issue=5 | pages=323–351 | bibcode=2005ConPh..46..323N | s2cid=2871747 }}</ref>
* The median of an [[exponential distribution]] with [[rate parameter]] ''λ'' is the [[natural logarithm]] of 2 divided by the rate parameter: ''λ''<sup>−1</sup>ln&nbsp;2.
* The median of a [[Weibull distribution]] with shape parameter ''k'' and scale parameter ''λ'' is&nbsp;''λ''(ln&nbsp;2)<sup>1/''k''</sup>.