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Introductory Statistics: A First Course

Homework system included
Douglas S. Shafer and Zhiyi Zhang
September 2018
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This textbook is suitable for the following courses: Introductory Statistics (one semester).

Introductory Statistics: A First Course provides a concise, coherent explanation of introductory statistics topics that caters to the needs of general education students in standard one-semester introductory courses. Introductory Statistics: A First Course ensures student comprehension by focusing on important core concepts and using a variety of exercises and examples to illustrate topics covered. As a result, Introductory Statistics: A First Course provides a low-cost, high-quality alternative to existing options on the market.

New in This Version:
  • Improved presentation of the median and quartiles
  • Simplified the condition that must be met for validity of statistical analyses of popular proportions

  • Concise, streamlined approach
  • Wide range of exercises for each concept to drive comprehension
  • Large data sets available online
  • Customizable

At FlatWorld, we take pride in providing a range of high-quality supplements alongside our titles, to help instructors teach effectively. Supplements are available for instructors who have registered their adoption with us. If you need to review or preview something specific, please contact us.

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This book is now available with FlatWorld’s Homework System at no additional cost to your students.

With the new, easy-to-use Homework System, you will be able to assign questions and autograde homework. The system includes multi-format questions written specifically for your FlatWorld book, which you can access through our stand-alone interface or integrate with your learning management system (e.g. Canvas, Moodle, Brightspace/D2L, and Blackboard).

Visit the FlatWorld Homework page to learn more.

To schedule a demo for help in setting up FlatWorld Homework for your course, contact your Sales Rep or FlatWorld support.

Need assistance in supplementing your quizzes and tests? Our test item files (in Word format) contain many true/false, multiple choice, fill in the blanks, and short essay questions.

The Instructor Manual (in Word format) will help guide you through the main concepts of each chapter such as learning objectives, key terms and takeaways. Many also include explanations and answers to chapter exercises.

A PowerPoint presentation highlighting key learning objectives and the main concepts for each chapter are available for you to use in your classroom. You can either cut and paste sections or use the presentation as a whole

For exercises that need a little more explanation, our Solutions Manual will take you step by step through solving the problem and offer explanations on the answer.

Douglas S. Shafer University Of North Carolina, Charlotte

Douglas Shafer is Professor of Mathematics at the University of North Carolina at Charlotte. In addition to his position in Charlotte, he has held visiting positions at the University of Missouri at Columbia and Montana State University and a Senior Fulbright Fellowship in Belgium. He teaches a range of mathematics courses as well as introductory statistics. In addition to journal articles and this statistics textbook, he has co-authored a graduate-level textbook in his research specialty with V.G. Romanovski (Maribor, Slovenia). He earned a Ph.D. in mathematics at the University of North Carolina at Chapel Hill.
Zhiyi zhang

Zhiyi Zhang University Of North Carolina, Charlotte

Zhiyi Zhang is Professor of Mathematics at the University of North Carolina at Charlotte. In addition to his teaching and research duties at the university, he consults actively to industries and governments on a wide range of statistical issues. His research activities in statistics have been supported by the National Science Foundation, the U.S. Environmental Protection Agency, the Office of Naval Research, and the National Institute of Health. He earned a Ph.D. in statistics at Rutgers University in New Jersey.
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