AP Statistics

AP Statistics immerses students with the major concepts and tools for collecting, analyzing, and drawing conclusions from data. Students will frequently work on projects involving the hands-on gathering and analysis of real world data. Ideas and computations presented in this course have immediate links and connections with actual events, experiments and research. Computers and calculators will assist students in their deepened work on the concepts involved in statistics. Students may receive college credit for this course by successfully passing the AP Exam in May (a course expectation). Summer work is required.

School Competencies:
  • Writing (Communication - Foundational)
  • Applied Mathematical Modeling (Problem Solving & Analysis - Foundational)
  • Critical Thinking (Problem Solving & Analysis - Foundational)
  • Interpretation (Problem Solving & Analysis - Foundational)
  • Technological and Science Understanding (Problem Solving & Analysis - Advanced)
  • Applied Statistical Analysis (Problem Solving & Analysis - Advanced)
  • Reflection (Problem Solving & Analysis - Advanced)
  • Cognitive Flexibility (Problem Solving & Analysis - Advanced)
  • Scientific Experimental Design (Problem Solving & Analysis - Advanced)
  • Technological & Science Understanding Applied Statistical Analysis (Problem Solving & Analysis - Advanced)
  • Multi-Disciplinary Technological and Scientific Understanding (Problem Solving & Analysis - Advanced)
  • Synthesis (Problem Solving & Analysis - Advanced)
Course Competencies
  • Demonstrate an understanding of methods of representing and analyzing data by describing data distributions.
  • Make comparisons among distributions, using data and drawing conclusions.
  • Demonstrate an understanding of sampling techniques and experimental design by planning studies, analyzing and interpreting results, recognizing limitations on the scope of inferences, and offering constructive criticism of studies.
  • Students will demonstrate an understanding of methods of representing and analyzing data data by describing data distributions both graphically and numerically, making comparisons among distributions, using data to check conditions necessary for inference and drawing conclusions.
  • Students will demonstrate an understanding of the nature and logic of statistical inference in observational studies and experiments by generalizing findings from sample data to populations of interest, designing experiments to control for extraneous variables, and selecting and utilizing the appropriate inferential techniques to assess statistical significance.
  • Demonstrate an understanding of utilizing probability to quantify the variability and identify meaningful differences with data sets by determining and interpreting variances in data, determining variable dependency, utilizing various sampling techniques, designing and implementing experiments, and calculating and interpreting marginal probabilities.
  • Students will demonstrate the ability to communicate analysis, methods, and results of experiments and associated analysis in a clear and concise manner.
Credits

1

Grades

11-12