AP Statistics Syllabus

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:

  1. Formulate Questions — Determine valid investigative questions that require statistical investigation; identify information needed to answer questions.
  2. Collect Data — Justify appropriate methods for ethically gathering and representing data through random sampling and experimental design.
  3. Analyze Data — Construct tabular and graphical representations; calculate summary statistics, probabilities, and inference results.
  4. Interpret Results — Describe distributions, justify claims based on statistical calculations, verify conditions for inference methods, and interpret results in context.
  5. Communicate Statistical Reasoning — Explain statistical concepts clearly in writing, connecting calculations to real-world contexts.

Textbook

The Practice of Statistics (Starnes, Tabor, Wilcox) or Stats: Modeling the World (Bock, Velleman, De Veaux).

Technology (Required)

Course Materials (Provided)

Online Resources

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:

Midterm Assessment — 40% of Semester Grade

CategoryWeight
Attendance15%
Class Participation15%
Homework20%
Midterm Exam50%

Final Assessment — 60% of Semester Grade

CategoryWeight
Attendance15%
Class Participation15%
Homework20%
Final Exam50%

Calculator Policy

Course Schedule

WeeksDatesUnit / Topic
1–7Aug 31 – Oct 23Unit 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)
7–12Oct 19 – Dec 4Unit 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)
13–17Dec 7 – Jan 8, 2027Unit 3: Inference for Categorical Data: Proportions — Complete Jan 8
18Jan 11–15Final Exam Week (Units 1–3)
Winter Break: January 16 – February 28, 2027
18–21Mar 1–26Unit 4: Inference for Quantitative Data: Means — Complete Mar 26
21–22Mar 22–31Unit 5: Regression Analysis — Complete Mar 31 (all content done)
📝 Monthly Exam — Apr 1–2 (Monthly Exam)
Apr 6–9Comprehensive Content Review — Units 1–2
Apr 12–16Comprehensive Content Review — Units 3–5
Apr 19–23FRQ Intensive Practice
Apr 26–30Full Mock AP Exam
🎉 Labor Day Holiday — May 1–3 (No class)
May 3–14AP Statistics Exam
May 17 – Jun 4Post-AP Capstone Project
📝 Final Exam Week — Jun 7–11

Key Dates

Oct 23Unit 1 complete
Dec 4Unit 2 complete
Jan 8, 2027Unit 3 complete
Mar 26Unit 4 complete
Mar 31Unit 5 complete — all content done
Apr 26–30Full Mock AP Exam
May 3–14AP Exam

Exam Window: May 3–14, 2027

A graphing calculator is required for both sections. The AP Statistics Formula Sheet and Tables are provided.

SectionContentQuestionsTimeWeight
Section IMultiple Choice (scenario-based)4090 min50%
Section IIFree Response590 min50%

Free-Response Question Types

FRQTypeTime
Q1Multi-Focus on Practices 1 & 2 (formulate questions, collect data)~12 min
Q2Multi-Focus on Practices 3 & 4 (analyze data, interpret results)~12 min
Q3Inference (Hypothesis Test — four-step procedure)~25 min
Q4Multi-Focus on Practices 2, 3, & 4 (collect, analyze, interpret)~25 min
Q5Investigative Task (synthesis across topics)~16 min

MCQ Exam Weighting by Unit

UnitTopicMCQ Weight
1Exploring One-Variable Data and Collecting Data20–30%
2Probability, Random Variables, and Probability Distributions15–25%
3Inference for Categorical Data: Proportions15–25%
4Inference for Quantitative Data: Means10–20%
5Regression Analysis10–20%

Four-Step Inference Process

All inference procedures follow a consistent structure:

  1. STATE — Parameter/hypotheses of interest in context; confidence level or significance level α.
  2. PLAN — Name the procedure; check conditions (Random, Normal/Large Counts, Independent).
  3. DO — Calculate the interval or test statistic and p-value (calculator or formula).
  4. CONCLUDE — Interpret in context; make a decision and state conclusion with appropriate confidence/evidence language.