In AP Statistics, students will learn how to describe, display, interpret and analyze data. There will be a focus on data collection, experimental design, modeling data and making conclusions based on statistical evidence. Students will analyze the structure of data and make use of technology to guide their understanding of statistics. Students will also learn about probability theory, randomness and the effects of random behavior. Specifically, this will lead to significance testing and decision making based on incomplete information and authentic application. The course concludes with a cumulative project that students design and present based on eclectic content learned throughout the year. This course will prepare students for the AP Exam in May.
Key Course Learning Experiences
Investigate the patterns of random phenomena that show up in the real world
Construct and play with simulations to model life experiences
Make significant connections between various professional disciplines (math, bio, business, etc.)
Design and interpret the results of major experiments and studies
Analyze and explore the relationships between random variables
Learn how probability theory can be used to make major, highly sensitive, decisions
Collaborate with other students and build their fluency in the language of mathematics
Essential Learning GoalsProblem Solving (25%)Modeling (25%)Communication (25%)Analysis (25%)
Major Assessments and Success Criteria
There are twelve units in AP Statistics. Time permitting, the goal is for each unit to have one major assessment. Each assessment will test the proficiency of some combination of the four essential learning goals as they relate to course and unit material. By semester’s end, each essential learning goal will have been sufficiently tested. Success Criteria 1:
Success Criteria 2:
- Students can successfully use the tools and techniques learned to solve appropriate statistical problems in a variety of ways.
Success Criteria 3:
- Students can construct appropriate model(s) to investigate random phenomena.
Success Criteria 4:
- Students can properly and precisely explain and communicate the observations, characteristics and relationships imbedded in the respective data.
- Students can generate and support arguments using probability theory and statistical analysis.