Session II: Statistics 

This summer institute in Advanced Placement Statistics will introduce participants to the teaching of an AP Statistics course. The primary goal of this institute is to familiarize participants with the entire AP Statistics curriculum. To achieve that goal, the following topics will be covered: displaying and exploring data, probability and simulation, linear regression, the basics of inference procedures, inference for categorical data: one proportion, inference for quantitative data: one mean or one slope, inference for differences and paired differences, and inference for multiple comparisons: the Chi-Square tests. It is my sincere hope that participants will not only become fluent in use of statistical techniques but gain an understanding of the underlying principles of those techniques. Most students likely will take the AP exam upon completion of the course. To help ensure student success on the exam, a secondary goal of this institute is to provide participants with a basis to evaluate the progress of their students in terms of the exam expectations. I believe the best means of conveying what exam expectations are is by analyzing previous exams. Therefore, I will provide a detailed description of the expectations from this summer’s constructed response questions.

Instructor: Kenn Pendleton has been teaching statistics since 1995. He received a master’s degree in measurement and statistics at the University of Maryland in 2006. He has been a reader for the past 6 years and has conducted workshops in AP Statistics for the last 10 years. Additionally, Mr. Pendleton teaches statistics as an adjunct faculty member at the Germantown branch of Montgomery College.