Simple computation of standard parameters from a data set can lead to conclusions which are wrong, even very wrong. Some day even regulatory agencies may realize this. Robust statistical techniques are often required. The normal distribution only sometimes describes real data. The techniques taught in Statistics 101 are elegant, but far from the whole story.
Graphical methods matter.
The best visualization method is the one which supports the most insight into the phenomenon under study. The intent of this software package is to make the approach of Visualizing Data accessible to Matlab users. The package includes 26 mat files which contain all of the data files used in the book. It also includes function m files which implement most of the computation and display methods used in the book and script m files which produce all of the figures in this documentation. In this documentation the new Matlab functions included in the Data Visualization Toolbox are in green code font.