Features and Benefits
About the Book
The data-centric approach gives students frequent opportunities to practice working with and telling a meaningful story with modern data in its original form.
- New - Data Moves directs students to the original version of a dataset that was modified for the textbook and explains how parts were extracted to answer a statistical question. This prepares students to do their own data manipulation in the end-of-chapter Data Projects.
- New - End-of-chapter Data Projects emphasize critical thinking and data analysis skills, asking students to move through the entire data cycle in order to make a data-informed decision and communicate their findings. Data Projects are assignable in MyMathLab for School and assume the use of StatCrunch® or another statistical software package.
- New - Introduction to the Data Cycle. This author-created framework guides students through data exploration as an investigative process, from data collection to data analysis.
- Large data sets reappear throughout the book focusing on different variables. This illustrates how data “moves” depending on the concept or question being explored.
Built-in guidance and a conversational writing style help students understand the material and make connections to their everyday lives.
- Updated - A Case Study opens each chapter, showing a real-world application of the concepts. At the end of the chapter, the case study is revisited to show how the statistical techniques covered in the chapter help solve the problem presented.
- Snapshots go beyond a definition by breaking down the statistical concepts introduced in the text discussion, quickly summarizing the concept or procedure, and indicating when and how it should be used.
- Guided Exercises step students through solving a problem if they need extra help while doing homework. These exercises are marked with an icon to indicate that step-by-step instruction is available in the Guided Exercises section at the end of each chapter.
Technology integration emphasizes the use of statistical software, which allows students to focus more on learning concepts rather than formulas.
- All procedures and concepts in the text assume that students have access to some technology or statistical software package. This approach introduces mathematical formulas only when necessary to understand a concept.
- TechTips outline steps for performing calculations using TI-83/84-Plus® graphing calculators, Excel®, Minitab®, and StatCrunch. Whenever a new method or procedure is introduced, an icon refers students to the TechTips section at the end of the chapter.
Check out the preface for a complete list of features and what's new in this edition.
Reach every student by pairing this text with MyMathLab® for School
MyMathLab for School is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyMathLab for School personalizes the learning experience and improves results for each student. With MyMathLab for School and StatCrunch, an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world.
Empower each learner
- New - Assessment questions are tied to Data Cycle videos. Data Cycle videos demonstrate for students that data collection and data analysis can be applied to answer questions about everyday life.
Deliver trusted content
- New - Interactive Applet Modules help students visualize statistical concepts and apply them to real-world situations. Modules introduce students to a concept, walk them through an example, and close by asking them to answer a series of application questions. Interactive Applet Modules are assignable along with 13 existing standalone StatCrunch applets.
- Updated - Question typesprovide more opportunities to practice statistical thinking and a streamlined organization are easy to add to assignments.
- The Conceptual Question Library (CQL) is now correlated by chapter, making it easier to include it in assignments.
- New - Assignable StatCrunch Projects and end-of-chapter Data Projects provide students with opportunities to analyze and interpret data. Each project consists of a series of questions about a large data set that can be analyzed in StatCrunch or some other statistical software.
- Updated - Chapter Review videos by co-author Rebecca Wong and Carrie Grant (Flagler college) walk students through key examples from the text.