Introductory Statistics
A Student-Centered Approach
Cannon, Starnes, & Tabor
Introductory Statistics: A Student-Centered Approach balances the skill building and straightforward conceptual understanding students need to make sense of the decisions and data in the world around them and what their place in it will be.
Introductory Statistics: A Student-Centered Approach started first with the needs of students–how they learn and digest new material, what’s relevant to them, and how they practice their skills–and built an all-in-one offering designed to provide a pathway to understanding for all students and show why statistics matters in the modern world. Achieve makes it easy to work with real world data and provides ample opportunities for students to strengthen their computational, data analysis, and conceptual skills.
The digital resources for Introductory Statistics: A Student-Centered Approach in Achieve connect the mission of the text to immersive learning experiences and multimedia with a variety of assessment types to fit any teaching style. Achieve offers flexible course design, LMS integration, and free iClicker access to help engage your students near or far.
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What Makes this Text Student-centered?
Students can quickly dive into problem solving with Introductory Statistics' consistently structured, streamlined chapters. Each chapter clearly states learning goals and presents a wealth of worked examples in a Problem/Solution format. Each chapter concludes with Statistics Matters: sections that connect calculations to the underlying concepts and make sense of statistics in real-world context. With chapter summaries and online exercises available in Achieve, students will stay engaged and learn fundamental statistical concepts in a meaningful way.
“In addition to the intriguing contexts included in the examples and exercises, we structured the book to make it clear what students need to know and be able to do.
We hope that using Introductory Statistics: A Student-Centered Approach enhances your statistics course and builds a foundation of statistical literacy that will connect students to the world around them. ”
– Ann Cannon, Daren Starnes, & Josh Tabor
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