Lesson Q4 L1 – Launching the Community Capstone: A Data Question That Matters to Our Neighbors
Lesson Overview
Quarter 4 · Unit J: Comparing Means, Regression, and AP Review · Week 28 · AP Statistics (Grades 10–12) · Lesson length: 50 minutes
Essential Question: What question could our class answer with data that would help people who live near our garden at 1634 N 19th Ave?
Lesson Focus: Students generate and refine an investigative question for the community capstone, choose a data collection method, and plan the analysis.
Why It Matters: The capstone uses the full statistical process. Determining a valid investigative question (skill 1.A) and justifying a data collection method (skill 2.B) are the first steps, and free-response Question 1 assesses both.
Source: New lesson for this series; draws on Seeds of Science community connection and symposium lessons.
Standards & Learning Targets
Standards Alignment
AP Statistics CED (Fall 2026) — Topics & Learning Objectives: Topic 1.1 Introducing Statistics: What Can We Learn from Data? (Unit 1: Exploring One-Variable Data and Collecting Data) — 1.1.A: Identify components within a statistical study.; 1.1.B: Determine an investigative question within a statistical study. • Topic 1.10 The Investigative Question Revisited and Data Collection (Unit 1: Exploring One-Variable Data and Collecting Data) — 1.10.A: Determine the components of an investigative question within a statistical study.; 1.10.B: Identify a census.; 1.10.C: Identify an experiment.; 1.10.D: Identify an observational study.; 1.10.E: Justify the appropriateness of generalizations for a statistical study. • Topic 1.11 Random Sampling (Unit 1: Exploring One-Variable Data and Collecting Data) — 1.11.A: Identify a sampling method given a description of a study.; 1.11.B: Justify the appropriateness of a sampling method.
AP Statistics Practices / Skills: 1.A (Formulate Questions) — Determine a valid investigative question that requires a statistical investigation; 2.B (Collect Data) — Justify an appropriate method for ethically gathering and representing data
Student Learning Targets
Learning Targets — students will be able to
Generate investigative questions that name a population, variables, and a purpose
Decide whether a question calls for a survey, an observational study, or an experiment, and justify the choice
Draft a capstone plan with a sampling or assignment method and a planned analysis
Key Vocabulary
investigative question · population · census · sample survey · observational study · experiment · stakeholder · capstone plan · planned analysis
Materials & Teacher Prep
| Materials Needed | Teacher Prep Checklist |
|---|---|
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Low-Cost Option: Hand-drawn neighborhood maps and index cards work as well as printed materials.
Lesson Flow & Timing
| Engage · 6 min | Explore · 14 min | Explain · 12 min | Elaborate · 12 min | Evaluate · 6 min |
|---|---|---|---|---|
| Whose question is it? | Question carousel (Carousel Feedback) | Questions, designs, and scope | Draft the capstone plan | Exit ticket + reflection |
Phase 1 · Engage — The Hook
Teacher Talk
PCM: Curiosity. Read three questions a neighbor might ask: “Does mulch really save water?” “Do kids who visit the garden eat more vegetables?” “Which crops grow best here in spring?” “Which of these can data answer, and how?” Introduce experiment briefly now so the discussion stays precise; the formal definition comes in Explain.
Ask Students
“Who would care about each answer?” “Which question needs an experiment? A survey?” “Which can we answer by April?”
PCM Differentiation
Thinker Students: Choose one capstone question and justify the data collection method by explaining what kind of conclusion it allows (cause and effect, generalization, or neither).
Harmonizer Students: Community questions belong to the community. As a team, decide how to include a neighbor’s voice in choosing and wording the question.
Phase 2 · Explore — Kagan Cooperative Activity
Cooperative Structure
Kagan structure: Carousel Feedback. Teams rotate among posted drafts, leaving written feedback on each, then return to revise their own (See the Teaching Reference for the structure’s steps.) Before teams start, introduce the term population so students can use it accurately; Explain gives the formal definition.
Step-by-Step
- Step 1 — Post drafts (3 min): Each team posts a draft question with its proposed method on chart paper.
- Step 2 — Rotate (8 min): Teams rotate every 2 minutes, leaving one praise and one suggestion about the population, variables, or method.
- Step 3 — Revise (3 min): Teams return to their own chart and revise using the feedback.
Teacher Moves During Explore
Push for questions that name the population and variables
Ask “What conclusion would your method allow?”
Check feasibility: time, safety, and privacy for any survey
Phase 3 · Explain — Direct Instruction
Mini-lesson — From Question to Plan. Teacher move: Match the question to a method and a conclusion.
A strong investigative question names the population, the variables, and the purpose
Surveys with random samples estimate population characteristics; experiments with random assignment test cause and effect; observational studies show associations
A census measures every unit; it is rarely practical for a community question
Plan the analysis before collecting data: the variable types and the number of groups determine the graphs and inference procedures
Ethics: surveys of people need informed consent, privacy, and school approval
Key Message: A capstone question should name a population and variables, and its data collection method determines whether the conclusion can generalize, show cause, or only describe.
Check for Understanding — Ask Students
“What population does your question name?” “What kind of conclusion will your method allow?” “Which inference procedure do you plan to use?”
Phase 4 · Elaborate — Student Product & Differentiation
Student Product
Each team submits a capstone plan with a refined question, data collection method, and planned analysis.
Differentiation
Support (scaffolded entry): Provide the plan template with an example from our garden experiment.
AP Extension: Write a second version of your question that could be answered by a randomized experiment, and compare the two versions.
Multilingual Learners: Visual flowchart from question to method to conclusion with icons.
Phase 5 · Evaluate — Closure, Exit Ticket & Assessment
Exit Ticket
- Our capstone question:
- Our data collection method and why:
- The inference procedure we plan to use:
Answer Key / Look-Fors: Answers vary; look for a named population and variables, a method matched to the question (survey, experiment, or observational study), and a planned procedure matched to variable types.
AP Exam Practice
(MCQ) A student wants to know whether neighbors who live within 1 mile of a school garden eat more vegetables than neighbors who live farther away. She surveys a random sample of households in each distance group. Which statement is correct?
(A) This is an experiment, so any difference can be attributed to the garden (B) This is an observational study; it can show an association but not cause and effect (C) This is a census of the neighborhood (D) The results cannot be generalized because a random sample was used
Answer & Rationale: (B). Distance was not assigned, so this is an observational study; random sampling allows generalization to the households sampled from, but not a causal conclusion. (A) is false because no treatment was imposed. (C) is false because only a sample was surveyed. (D) reverses the role of random sampling.
Expanding Circles
How does this connect to… Self — What question about my own life could data answer? • Classroom — What question will our class answer for the community? • School — What question could our school answer with data? • Community — What questions do Phoenix neighborhoods ask about heat and food? • World — What community questions do statisticians answer worldwide?
Formative Assessment
Formative Assessment (sort students by the capstone plan with question, data method, and planned analysis, the matching exit-ticket answers, and the AP item)
Meets (3): Clear, feasible question with population and variables, a justified method, and a matched analysis plan.
Approaching (2): Feasible question but method or analysis plan unjustified.
Not Yet (1): Question too broad or untestable; reteach with the question cards.
Extend & Looking Ahead
Extension: Interview a neighbor or community partner about your question and revise it with their input.
Looking Ahead: Lesson 4.2 tests a mean or a mean difference with a t-test.