Interpreting Tables, Timetables, and Schedules

Classify data types, collect and organize categorical and numerical data, and construct structured frequency tables.

Construct and interpret scaled pictograms, single bar graphs, and double bar graphs to compare categorical and discrete data.

Measure real objects to fractional precisions, construct line plots in halves, fourths, and eighths, and solve redistributive fair-share problems.

Interpret pie charts, calculate sector angles and percentages, and construct circle graphs from categorical datasets.

Extract, synthesize, and draw valid conclusions from complex tables, two-way tables, transit timetables, and schedules.

Plot and interpret line graphs representing continuous physical phenomena over time, identifying trends and rates of change.

Compare alternative representations of the same dataset, detect misleading features, and choose optimal graph types.

Calculate, interpret, and compare the mean, median, and mode as single-value summaries of data center.

Quantify variability using range, describe symmetry and skewness of distributions, and compare two datasets side-by-side.

Conduct chance experiments, list full sample spaces using organized lists and tree diagrams, and compute theoretical probabilities.

Conduct repeated probability trials, calculate relative frequencies, evaluate the Law of Large Numbers, and test predictive hypotheses.