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A Proposal for Future Statistics Education

Recent developments in technology have remarkably increased the need for the quantitative analysis of data, often in ways which are difficult to satisfy by standard software. What has to be done in such cases is to build new software, and this kind of task usually leads to the problem of statistical modelling. Thus, statistical modelling is the task not only of expert statisticians, but of all those concerned with data analysis. Hence, the increasing need for the data analyst who is capable of developing new models. Hence, some part of teaching time has to be spared to teach the art of model building. Typical steps for statistical problem solving are: model building; model fitting; model evaluationlselection; interpretation of the results. Here, we restrict ourselves to cases where the models are expressed in the form of probability distributions for observed data. We shall discuss the software and hardware which are required to accomplish the above process in a lecture-room. Note that the availability of a computer is assumed as a matter of course.