The first unit introduces students to key ideas such as variables and variability then focuses on how the type of study conducted determines the scope of that can be drawn. This unit also emphasizes the distinction between random and random assignment.
This topic begins with the definitions of variables and observational units and the distinction between quantitative and categorical variables.
This topic introduces the ideas of distribution and comparison, also presenting visual displays of data such as bar graphs and dotplots. The notion of statistical tendency is investigated, and opportunities to relate descriptions of distributions to their contexts are provided.
This topic presents the distinction between populations and samples, parameters and statistics, and explanatory and response variables. Biased sampling methods and confounding are also examined as impediments to generalizing results and drawing causal conclusions from statistical studies.
Students discover how to select a simple random sample, the merits of such a sampling method, and the effect of sample size on precision.