June 4‐7
This course will deepen understanding of AP Statistics in a collaborative environment. Big ideas include exploring and visualizing one and two variable data, sampling and experimentation, probability, random variables, sampling distributions, and statistical inference via confidence intervals and significance tests. Simulation is used throughout to increase understanding. We will explore and engage the content through activities that can be implemented immediately in the classroom. Learning is supported with an introduction to graphing calculators. Old AP exam questions will be unpacked with a focus on the rubrics used to grade the questions. Participants are strongly encouraged to bring a graphing calculator.
About

Instructor: Luke Wilcox

Course objectives:
 Expose participants to relevant resources and instructional strategies that can enhance the quality of their AP Statistics course.
 Actively include participants in activities that develop deeper understanding of statistical concepts.
 Educate participants about the format, content, rubric, and grading of the AP Statistics Exam.
 Generate a better understanding of sampling distributions and inference.

Included:
 Materials (Textbooks, Assessment Resources)
 Calculator & Computer Activities
 Lunch & Snacks
 Flash Drive
 Things to Bring:
Schedule
 Introductions
 General Course Information and Resources
 Unit 1: Exploring Data
 Unit 2: Modeling Distributions of Data
 Unit 3: Describing Relationships
 Unit 4: Designing Studies and Experiments
 Unit 5: Probability
 Unit 6: Random Variables
 Unit 7: Sampling Distributions
 Unit 8: One Sample Confidence Intervals
 Unit 9: One Sample Significance Tests
 Unit 10: Two Sample Inference
 Unit 11: Chisquare Tests
 Unit 12: More About Regression
 Questions/Work Time
July 16‐19
This course is targeted at teachers new to AP Statistics.
Teachers interested in a more advanced course,
click here or scroll down.
The word for the week is "variability." All our discussions will deal with its observation,
description, control, measurement, and implications. During the week we will examine the four major
content areas of the AP course, with discussions and explorations based on the experience, comfort level,
interests, and needs of participants.
In addition, we will discuss teaching strategies and classroom details
such as student projects, homework, quizzes, and grading. A good bit of time will be devoted to the AP exam,
including its structure, how it is written, and how it is graded. We will examine the grading of the 2018
exam in depth.
Technology (calculators and laptops) will be used dailyfor developing ways to help students
understand difficult concepts, for finding answers, and for experiencing new developments in the practice and
teaching of statistics. Class explorations will include handson activities (physical( in addition to calculator
and computer investigations. Many of these explorations are ready for use with students, but some are intended
primarily to prepare teachers to answer questions like, "Why do we do ___?" Simulation will play an
important role throughout the week. Some of that simulation will be "hightech" and some will be decidedly "
lowtech" but all will be purposeful.
About

Instructor: Landy Godbold

Included:
 Materials (Textbooks, Assessment Resources)
 Calculator & Computer Activities
 Lunch & Snacks
 Flash Drive
 Things to Bring:
 Graphing calculator
 Laptop Computer
Schedule
Monday

 Getting Started
 Students
 Local Support
 Materials
 College Board Support
 Other Sites
 Exam Structure
 Homework and projects
Opening activity  a little bit of everything
 Exploring and Describing Univariate Data
 Categorical vs. Numerical Data
 Verbal Descriptions
 Graphs and their properties
 Summary statistics and their properties
 Linear transformations
Examples and scoring from AP Exams
 Exploring OnLine Resources
 AP Central
 Course Audit
 Electronic Discussion Group

Tuesday

 Exploring and Describing Bivariate Data
 Categorical vs Numerical variables
 Verbal descriptions
 Graphs and their properties
 Residuals, summary statistics, and their properties
 Linearizing transformations
 Reading computer output (round 1)
Examples and scoring from AP exams
 Designing Sampling and Experimentation
 the role of variability
 observational studies and experiments
 designing experiments
 principles, methods, and properties
 scope of inference
 sampling
 principles, methods, and properties
 scope of inference
Examples and scoring from AP exams

Wednesday

 Anticipating Patterns
 Probability  meaning and calculations
 Theoretical principles
 Computation tools  trees and tables
 Conditional probability
 Independent events
 Independent variables
 Simulating probabilities
 Random Variables
 Continuous and discrete
 Summary measures
 Combining random variables; summary measures
 Special random variables and their measures
 Bernoulli
 Binomial
 Geometric
 Normal
Examples and scoring from AP exams
 Statistical Inference
 Confidence intervals and hypothesis tests; duality
 Underlying logic (models and simulation)
 Sampling distributions and randomization distributions
 Inference on proportions
 The role of conditions

Thursday

 Statistical Inference (continued)
 Sampling distributions and randomization distributions (continued)
 Central Limit Theorem
 tstatistics
 Behind the 10% Rule
 Chisquare procedures
 Pvalue and types of errors, significance, power, margin of error
 Identifying appropriate procedures
 Inference on Regression
 Underlying model and simulation
 Reading computer output (round 2)
Examples and scoring from AP exams
