AP®︎ Statistics (pre-2026) Unit 3: Notes & Study Guide

Prepare for your quiz, test, or the AP exam with a comprehensive review on Unit 3 of AP Statistics (pre-2026) – Collecting Data.

Exam weight: 12-15%
7 Topics

Unit 3: Collecting Data

How experiments and surveys are designed, why randomization matters, and what conclusions you can draw from each.

Begin with Topic 3.1: Introducing Statistics: D...

To review Unit 3, go through each of the 7 topics below.

Everything you actually need to know for your Unit 3 test, pulled directly from the AP® Statistics (pre-2026) curriculum.

Topic 3.1
~6 min
Review
Introducing Statistics: Do the Data We Collected Tell the Truth?
Introducing Statistics: Do the Data We Collected Tell the Truth?
  • When Data Tell the Truth
  • Random Sampling and Random Assignment
  • Methods That Do Not Rely on Chance
Review
Topic 3.2
~6 min
Review
Introduction to Planning a Study
Introduction to Planning a Study
  • Population, Sample, and Census
  • Types of Studies
  • What You Can and Cannot Conclude
Review
Topic 3.3
~6 min
Review
Random Sampling and Data Collection
Random Sampling and Data Collection
  • Why Random Sampling Matters
  • Types of Random Sampling Methods
  • Choosing the Right Method
Review
Topic 3.4
~7 min
Review
Potential Problems with Sampling
Potential Problems with Sampling
  • What Bias in Sampling Is
  • Major Sources of Bias in Sampling
  • Random vs Non-Random Sampling
Review
Topic 3.5
~6 min
Review
Introduction to Experimental Design
Introduction to Experimental Design
  • How Experiments Establish Causation
  • Principles of a Well-Designed Experiment
  • Control Groups, Placebos, and Blinding
Review
Topic 3.6
~6 min
Review
Selecting an Experimental Design
Selecting an Experimental Design
  • What an Experimental Design Does
  • Completely Randomized Design (CRD)
  • Randomized Block Design
Review
Topic 3.7
~6 min
Review
Inference and Experiments
Inference and Experiments
  • Statistical Inference in Experiments
  • Why Random Assignment Allows Cause and Effect
  • Generalizing Results to a Larger Population
Review

Notes

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