In the best academic tradition, we start with a definition: the "statistically literate" individual can "dis-aggregate and re-aggregate" to operate effectively as a statistical consumer. That is, he/she can extract information and interpret this information and can transform and interpret this information and can transmit it in terms your father -- your boss -- your client can understand and use. Evidently, this is a specialized version of the criteria for the label "quantitatively literate" which we will also use. We have been concerned for some time about the ways in which introductory statistics courses can better contribute to the goal of quantitative literacy for all adults and, in particular, for those whose secondary school experience may have left them mathematically dysfunctional or underskilled. In particular, we have wondered about the large number of students in the two-year colleges.
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