Introduction to Statistical Investigations, AP Edition
Authors: Nathan Tintle, Beth L. Chance, George W. Cobb, et al.
Grades 9–12
Course: AP® Statistics
Provides a unified framework for explaining variation across study designs and variable types, helping students increase their statistical literacy and appreciate the indispensable role of statistics in scientific research.
Requiring only basic algebra as a prerequisite, the program uses the immersive, simulation-based inference approach for which the author team is known. Students engage with various aspects of data collection and analysis using real data and clear explanations designed to strengthen multivariable understanding and reinforce concepts.
The program can be used as the core text to prepare students for success on the AP Statistics exam.
NEW for Summer 2026, Interactive Editions offer enhanced features to support your classroom.
Assessment Builder
Quickly create customized assessments from a bank of ready‑made questions aligned to your course. Filter by topic and difficulty, reorder or regenerate questions, and then assign online for instant results or print for pencil‑and‑paper testing. Creating assessments specific for your classroom needs has never been simpler!
You also have the flexibility to build your own custom assessments from a bank of ready-made questions for your course.
Using the topic selector, simply choose the sections from the book you want to test, and the system will bring up related questions ready for you to use.
(Showing Wiley Precalculus as example)
You can also reorder or delete questions to change the flow of your assessment or regenerate questions for new variations that target the same skill set.
Every question includes detailed data, giving you clear insight into the skills it measures and how it connects to your learning goals.
(Showing Wiley Precalculus as example)
Give Your Students a Head Start in Mastering Data Analysis
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Engaging and interactive learning: Promotes hands-on exploration with simulations, real-world data, and active learning exercises, making statistical concepts accessible and practical.
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Early focus on inference: Introduces statistical inference from the beginning, reinforcing core concepts through a spiral approach that builds understanding across topics.
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Simulation-driven approach to inference: Uses intuitive simulations and randomization tests to establish a strong conceptual foundation, guiding students naturally into formal inference methods.
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Real-world data integration: Features authentic data from diverse studies, showing the importance of statistics in impactful decision-making.
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Active learning with real investigations: Each chapter includes full investigations and critical thinking exercises, helping students apply statistics in real contexts and deepen their understanding.
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