Standard - AI.S.ID.1:
Represent data with plots on the real number line (dot plots, histograms, and box plots).

Standard - AI.S.ID.2:
Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (inter-quartile range, sample standard deviation) of two or more different data sets.

Standard - AI.S.ID.3:
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

Standard - AI.S.ID.5:
Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.

Standard - AI.S.ID.7:
Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.

Standard - AI.S.ID.8:
Calculate (using technology) and interpret the correlation coefficient of a linear fit.

Standard - AI.S.ID.9:
Distinguish between correlation and causation.