The following paper will present some tentative ideas for the discussion on how the further evolution of curricula may react to changes in statistics which have become visible by the emergence of EDA. The emergence of Exploratory Data Analysis (EDA) presents a challenge to more traditional views, attitudes and value systems of statistics, which are often also the implicit basis of curricula and teaching approaches to statistics and probability. Simple examples, ideas and techniques of EDA are sometimes considered to be a new curriculum content, because it is hoped that they may replace the rather boring teaching of techniques of descriptive statistics by more interesting examples of real data analysis, where the students may become more actively involved in processes of discovering relevant features of the systems the data refer to.
The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education