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.

Measures of Location

When describing data with a few parameters, one can specify characteristic properties of the data distribution. Let us, for example, study a data set obtained from the measurement of the body weight of newly born babies:

We could observe that

The first two statements specify in some manner the location of the maximum of the distribution, whereas the third line is a statement about the variability in the data.

In general, there are several measures of location, among them are

It is important to note that the mean is sensitive to outliers, whereas the median and the (1-p)-p-fractile are not. The median may remain almost constant if up to 50 % of the data is distorted. This behavior is often denoted as the robustness of the parameter. You may experiment with these three measures of location by starting the following .

Last Update: 2006-Jšn-17