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MIND ON STATISTICS, Fifth Edition, emphasizes the conceptual development of statistical ideas and the importance of looking for-and finding-meaning in data. Authors Jessica Utts and Robert Heckard actively engage students' natural curiosity, motivating them with intriguing questions and explaining statistical topics in the context of a wide range of interesting, useful examples and case studies. Throughout the text, the authors balance the promotion of statistical literacy with coverage of the statistical methodology taught in general introductory statistics courses. Their approach is based on the premises that new material is much easier to learn and remember if it is related to something interesting or previously known, and if students actively ask questions and find the answers for themselves. More than any other text available, MIND ON STATISTICS motivates and encourages students to develop their statistical intuition by focusing on analyzing data and interpreting results, rather than on mathematical formulation.
- Increased integration of digital assets.
- The book includes a significant number of Skillbuilder applets, which provide opportunities for in-class or independent hands-on exploration of key statistical concepts. The applets can be found on the book’s companion website.
- Videos walk students through examples step by step, reinforcing key statistical concepts.
- New examples and exercises were written for the new edition. All data in examples, case studies, and exercises also have been updated to the latest information available.
- The number of “In Summary” boxes has been increased, and the boxes are placed more consistently throughout the chapters. A listing of the “In Summary” boxes now appears at the end of the chapter.
- The language has been tightened and simplified whenever possible.
- The book includes a larger art program to help with visualization.
- Significant updates and modifications have been made to Chapter 7 on probability.
- Topics in this edition include multiple comparisons in Chapters 1 and 13, power curves in Chapters 12 and 13, and McNemar's test in Chapter 15.
- The exercise sets are organized in odd-even pairs, featuring odd-numbered problems-which are answered in the back of the book-followed by similar even-numbered problems.
- The data in the problem sets, examples, and case studies have been updated with the latest possible information. In addition, the book includes all-new examples and case studies as well as new and updated data sets.
- A greater number of “In Summary” boxes are placed consistently throughout each chapter, reinforcing key ideas as students read. A listing of the “In Summary” boxes appears at the end of the chapter, making these features even more helpful as study aids.
- Aplia™ is available with the new edition. This online interactive learning solution-which improves student comprehension and outcomes with detailed, immediate explanations-also saves you time by automatically grading assignments.
- Chapters 9-13, containing the core material on sampling distributions and statistical inference, are organized in a modular, flexible format. There are six modules for each of the topics of sampling distributions, confidence intervals, and hypothesis testing. The first module provides an introduction and each of the remaining five modules deals with a specific parameter (one mean, one proportion, etc.). This modular format emphasizes the similarity among the inference procedures for the five parameters discussed, and it allows instructors to cover this material in any order they choose.
- Technology Tips appear throughout the text for MINITAB®, SPSS®, Excel®, JMP™, and TI-83/84 calculators. Technical manuals for these technologies, as well as for JMP™ and R, are available on the book's companion website.
- Original journal articles for selected case studies and examples (identified in the text by an icon) can be found on the book's companion website. Reading these original articles enables students to learn more about how the research was conducted, what methods were used, and the conclusions drawn.
- Compelling examples and “real-life” case studies help to motivate and engage students in statistical topics, reinforcing the text's premise that material is easier to learn if it can be related to something interesting or previously learned.
- The book helps students expand their “frame of reference” with unique and motivating opening and closing chapters that draw them into the subject matter. These chapters clearly illustrate how statistical methods have contributed to our understanding of health, psychology, commerce, ecology, politics, music, lifestyle choices, and dozens of other topics.
- Thought Questions, along with hints on how to solve them, provide students with opportunities to explore a topic further-and discover and verify important ideas for themselves. Complete answers are available on the instructor PowerLecture™ CD-ROM.
- Complementing the technology-specific Technical Tips, more general Technical Notes provide additional discussion on statistical techniques presented in the text; for instance, Summarizing Ordinal Variables and Population Mean and Standard Deviation.
- Applet activities, found throughout the text, help students explore key statistical topics. These applets, which are on the book's companion website, give students opportunities for hands-on learning and allow them to explore statistics on their own.
- To create a more natural flow of topic coverage, Chapters 5 and 6 precede Chapters 3 and 4 so that the material on describing data comes before the two chapters on collecting data.
2. Turning Data into Information.
3. Relationships between Quantitative Variables.
4. Relationships between Categorical Variables.
5. Sampling: Surveys and How to Ask Questions.
6. Gathering Useful Data for Examining Relationships.
8. Random Variables.
9. Understanding Sampling Distributions: Statistics as Random Variables.
10. Estimating Proportions with Confidence.
11. Estimating Means with Confidence.
12. Testing Hypotheses about Proportions.
13. Testing Hypotheses about Means.
14. Inference about Simple Regression.
15. More about Inference for Categorical Variables.
16. Analysis of Variance.
17. Turning Information into Wisdom.
“I think it is one of the best writing styles around for intro stats texts. [The book has] excellent examples in all chapters.”
“This book [is] one of the best for teaching a first undergraduate statistics course. It reflects current best practices in statistics education.” - Patricia Erickson, Taylor University
Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.
This online instructor database offers complete worked solutions to all exercises in the text, allowing you to create customized, secure solutions printouts (in PDF format) matched exactly to the problems you assign in class. http://www.cengage.com/solutionbuilder.
Student Solutions Manual
Contains fully worked-out solutions to all of the odd-numbered exercises in the text, giving students a way to check their answers and ensure that they took the correct steps to arrive at an answer.
Online Activities Workbook
Online activity workbook
Student Solutions Manual
Go beyond the answers—see what it takes to get there and improve your grade! This manual provides worked-out, step-by-step solutions to the odd-numbered problems in the text, giving you the information you need to truly understand how these problems are solved.
Online Activities Workbook
Online activity workbook