AP Statistics is an introductory, college-level statistics course. Students cultivate their understanding of statistics using technology, investigations, problem solving, and writing as they explore concepts such as exploring data, sampling and experimentation, probability and simulation, and statistical inference. The course is equivalent to a one-semester, introductory, non-calculus-based college course in statistics.
Students engage with four major themes: exploring data (describing patterns and departures from patterns), sampling and experimentation (planning and conducting a study), probability and simulation (anticipating patterns using probability and simulation), and statistical inference (confirming models and making conclusions based on data).
Prerequisites: Successful completion of Algebra II or equivalent. Students should be comfortable with algebraic manipulation, including solving linear equations, working with exponents and radicals, and graphing functions.
| Course: | AP® Statistics |
| Academic Year: | 2026–2027 |
| Instructor: | 赵丁霓 |
| Email: | Dingnizhao@ghedu.com |
| Office: | 文体106 |
| First Day: | August 31, 2026 |
Upon completion of this course, students will be able to:
The Practice of Statistics (Starnes, Tabor, Wilcox) or Stats: Modeling the World (Bock, Velleman, De Veaux).
Each semester is graded independently using the same standard. The midterm assessment accounts for 40% of the semester grade and the final assessment for 60%. Each is composed as follows:
| Category | Weight |
|---|---|
| Attendance | 15% |
| Class Participation | 15% |
| Homework | 20% |
| Midterm Exam | 50% |
| Category | Weight |
|---|---|
| Attendance | 15% |
| Class Participation | 15% |
| Homework | 20% |
| Final Exam | 50% |
| Weeks | Dates | Unit / Topic |
|---|---|---|
| 1–7 | Aug 31 – Oct 23 | Unit 1: Exploring One-Variable Data and Collecting Data — Complete Oct 23 |
| 🌙 Mid-Autumn Festival — Sep 25–27 (No class) | ||
| 🇨🇳 National Day Holiday — Oct 1–7 (No class) | ||
| 📝 Monthly Exam — Oct 8–9 (Monthly Exam) | ||
| 7–12 | Oct 19 – Dec 4 | Unit 2: Probability, Random Variables, and Probability Distributions — Complete Dec 4 |
| 📝 Midterm Exam Week — Nov 6–11 | ||
| 🍂 Autumn Outing — Nov 12 (No class) | ||
| 📝 Monthly Exam — Dec 14–18 (Monthly Exam) | ||
| 🎆 New Year Holiday — Jan 1 (No class) | ||
| 13–17 | Dec 7 – Jan 8, 2027 | Unit 3: Inference for Categorical Data: Proportions — Complete Jan 8 |
| 18 | Jan 11–15 | Final Exam Week (Units 1–3) |
| Winter Break: January 16 – February 28, 2027 | ||
| 18–21 | Mar 1–26 | Unit 4: Inference for Quantitative Data: Means — Complete Mar 26 |
| 21–22 | Mar 22–31 | Unit 5: Regression Analysis — Complete Mar 31 (all content done) |
| 📝 Monthly Exam — Apr 1–2 (Monthly Exam) | ||
| — | Apr 6–9 | Comprehensive Content Review — Units 1–2 |
| — | Apr 12–16 | Comprehensive Content Review — Units 3–5 |
| — | Apr 19–23 | FRQ Intensive Practice |
| — | Apr 26–30 | Full Mock AP Exam |
| 🎉 Labor Day Holiday — May 1–3 (No class) | ||
| — | May 3–14 | AP Statistics Exam |
| — | May 17 – Jun 4 | Post-AP Capstone Project |
| 📝 Final Exam Week — Jun 7–11 | ||
| Oct 23 | Unit 1 complete |
| Dec 4 | Unit 2 complete |
| Jan 8, 2027 | Unit 3 complete |
| Mar 26 | Unit 4 complete |
| Mar 31 | Unit 5 complete — all content done |
| Apr 26–30 | Full Mock AP Exam |
| May 3–14 | AP Exam |
A graphing calculator is required for both sections. The AP Statistics Formula Sheet and Tables are provided.
| Section | Content | Questions | Time | Weight |
|---|---|---|---|---|
| Section I | Multiple Choice (scenario-based) | 40 | 90 min | 50% |
| Section II | Free Response | 5 | 90 min | 50% |
| FRQ | Type | Time |
|---|---|---|
| Q1 | Multi-Focus on Practices 1 & 2 (formulate questions, collect data) | ~12 min |
| Q2 | Multi-Focus on Practices 3 & 4 (analyze data, interpret results) | ~12 min |
| Q3 | Inference (Hypothesis Test — four-step procedure) | ~25 min |
| Q4 | Multi-Focus on Practices 2, 3, & 4 (collect, analyze, interpret) | ~25 min |
| Q5 | Investigative Task (synthesis across topics) | ~16 min |
| Unit | Topic | MCQ Weight |
|---|---|---|
| 1 | Exploring One-Variable Data and Collecting Data | 20–30% |
| 2 | Probability, Random Variables, and Probability Distributions | 15–25% |
| 3 | Inference for Categorical Data: Proportions | 15–25% |
| 4 | Inference for Quantitative Data: Means | 10–20% |
| 5 | Regression Analysis | 10–20% |
All inference procedures follow a consistent structure: