You are working with the text-only light edition of "H.Lohninger: Teach/Me Data Analysis, Springer-Verlag, Berlin-New York-Tokyo, 1999. ISBN 3-540-14743-8". Click here for further information.
|
|
Median
When considering the distribution curve (or the histogram) of a sample,
the median is the location which divides the area under the curve (or the
area of the histogram) into two equal halves. The relative position of
the mode, the median, and the mean provides an indication of the skewness
of a distribution:
The median is calculated as follows:
-
Sort all values in ascending order.
-
If the number of values is odd, take the middle number.
-
If the number of values is even, take the average of the middle two numbers.
The sum of absolute deviations of sample scores from their median is lower
than the absolute deviations from any other value. Under certain circumstances
the median may be a more stable measure of location than the mean. The
median in particular is less prone to outliers
(extreme values) than the mean. Median statistics is therefore often used
with robust statistics.
Example:
Calculate the median of the following values: 4.4, 5.1, 4.1, 6.2, 5.7,
5.6, 7.0
-
Sort the seven values : 4.1, 4.4, 5.1, 5.6, 5.7, 6.2, 7.0
-
pick the middle value (since the number of values is odd) as the median:
5.6
Last Update: 2006-Jän-17