We seek to carry out a comparison of the diverse characteristics that are presented in the teaching and learning of Statistics in different university careers. We will compare the Statistics curriculum that are developed in each degree program, the objectives that are pursued, the different didactic methods that are used in each case, the applications used, the work with computer and other simulation instruments and the types of problems that receive larger emphasis in each discipline. From the student's point of view, we are carrying out an investigation that is in a first exploratory phase which will help us to describe the prior knowledge that the students bring when beginning their first statistic course, in connection with the intuitive interpretation of simple statistical graphics, such as graphics of bars and sectors, and interpretation of charts of frequencies.
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