Marasinghe, Meeker, Cook, and Shin (1996) used graphical and simulation techniques to construct a system of computer-based modules for teaching statistical concepts. The software component of these modules consisted of a computer program written in LISP-STAT incorporating a highly interactive user interface. The instructional component is set of a prototype lessons providing information to instructors such as a description of concepts that may be illustrated with the program and possible exercises. Since then, the addition of several new modules have enhanced the usefulness of the system. In this paper we illustrate several of these modules useful for teaching concepts as different from how sample size and confidence level affects the width and coverage of confidence intervals to how variability affects precision of experimental results.
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