Frederick J. Gravetter and Larry B. Wallnau combine an intuitive, easy-to-understand writing style with a wide variety of built-in learning aids and real-world examples. Applications are integrated to ensure that even students with a weak background in mathematics can achieve mastery of basic statistical concepts. Students using the book go beyond thinking of statistics as just a part of a course they have to take, instead coming to appreciate it as a growing field that helps us make sense of data in our world. The authors skillfully demonstrate to students that having an understanding of a variety of statistical procedures will help them understand published findings, as well as become savvy consumers of information.
- Numerous learning checks in every chapter help students test their understanding before exam time.
- Presentation of the Spearman correlation was moved from Chapter 19 (ordinal data) to Chapter 16 (correlations) and a new section on the Kruskal-Wallis test was added to Chapter 19.
- A new area of the online Psychology Study Center provides I/O "Workshops" that help students understand the main concepts of statistics through examples, graphs, and explanations.
- The latest news and research articles online-updated daily and spanning four years! Choose to package InfoTrac College Edition (ICE) with this text and you and your students will have 4-month's free access to an easy-to-use online database of reliable, full-length articles (not abstracts) from hundreds of top academic journals and popular sources. Ideal for launching lectures, igniting discussions, and opening whole new worlds of information and research for students.
- Statistical formulas are presented in both standard mathematical notation and in everyday language with explanations of how and why formulas are used.
- "In the Literature" sections appear in nearly every chapter. These sections demonstrate how statistical results are reported in APA style and explain the notation and jargon used.
- A Statistics Organizer found at the back of the text provides a decision tree that guides students to the appropriate statistical procedure in the text.
- In Chapter 1, the rules for summation notation are reorganized and integrated with the traditional order of operations for mathematical computations.
- In Chapter 4, the concept of biased and unbiased statistics is introduced with examples. Also, standard deviation and variance are discussed in the broad context of descriptive and inferential statistics.
- Directional tests (one-tailed tests) are given more recognition as legitimate and appropriate procedures throughout the hypothesis testing chapters (previous edition was critical of these tests).
- Descriptive statistics (sample means and standard deviations) are reintroduced in the chapters on hypothesis testing to demonstrate how the characteristics of the sample data are related to the outcome of a hypothesis test. (Chapters 9, 10, 11, 13, and 14). In particular, each chapter includes a discussion of the impact of sample variance on the outcome of a test.
- In Chapters 11 and 14, the development of repeated-measures analyses has been revised to emphasize that individual differences are removed by this type of design.