ID.1: Represent data with plots on the real number line (dot plots, histograms, and box plots) in the context of real-world applications using the GAISE model.
ID.2: In the context of real-world applications by using the GAISE model, use statistics appropriate to the shape of the data distribution to compare center (median and mean) and spread (interquartile range and standard deviation) of two or more different data sets.
ID.3: In the context of real-world applications by using the GAISE model, interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
ID.5: Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data.