Probability and Statistics A/B

challenged to work toward mastery of computational skills, apply calculators and other

technology in data analysis, deepen their understanding of key ideas and solution strategies,

and extend their knowledge through a variety of problem-solving applications. Course topics

include types of data, common methods used to collect data, and representations of data,

including histograms, bar graphs, box plots, and scatterplots. Students learn to work with data

by analyzing and employing methods of extending results, involving samples and populations,

distributions, summary statistics, experimental design, regression analysis, simulations, and

confidence intervals. Ideas involving probability — including sample space, empirical and

theoretical probability, expected value, and independent and compound events — are covered

as students explore the relationship between probability and data analysis. Extended projects

allow for more open-ended, extended applications of concepts and skills. Students collect and

analyze statistical data about a topic that interests them, and they apply probability concepts in a real-world context.