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Created through a "student-tested, faculty-approved" review process with students and faculty, STAT FOR THE BEHAVIORAL SCIENCES is an engaging and accessible solution to accommodate the diverse lifestyles of today's learners at a value-based price. Each chapter begins with a list of previously discussed concepts that students should review. Throughout each chapter, important points are emphasized by a "REMEMBER" summary reminder set off from the text. Summary tables and sections appear regularly and help organize and integrate the separate steps discussed in previous sections. Key terms are bold and in color. Graphs and diagrams are explained in captions and fully integrated into the discussion. Using What You Know sections at the end of each chapter ask students to apply their new knowledge to actual problems. A perforated review card is provided in the IE, which includes a chapter outline, learning outcomes, teaching tips, additional examples, key terms, and key formulas.
- The content of all chapters was reviewed by outside reviewers and revised for improved clarity and completeness. Examples were up-dated and many running glossary items were revised.
- Chapter 2: Creating and Using Frequency Distributions: Added section on grouped distributions which is augmented by a detailed description in Appendix A. Added graphing of relative frequency distributions. Expanded discussion of using area under the curve to compute relative frequency. Added discussion of cumulative frequency as a key term in section on percentile. Expanded discussion of percentile. Added deciles and quartiles.
- Chapter 3: Summarizing Scores with Measures of Central Tendency: Deleted discussion of computing an estimate of the median; direct students to use SPSS. Expanded discussion of using the mean to predict scores and minimize prediction error.
- Chapter 4: Summarizing Scores with Measures of Variability: Moved computing formulas for all biased and unbiased estimators to after all conceptual discussions. Expanded discussion of the standard deviation and area under the curve. Revised explanation of using N-1 for unbiased estimators. Added using "dispersion" to describe variability. Added explanation of APA as source for rules for reporting statistical results.
- Chapter 5: Describing Data with z-Scores and the Normal Curve: Revised explanation of the z-distribution. Expanded discussion of sampling distributions. Added emphasis here and in later chapters that a specific "underlying raw score population" is tied to each sampling distribution.
- Chapter 6: Using Probability to Make Decisions About Data: Added example of probability using a state's lottery drawing. Reduced discussion of computing the probability of raw scores. Expanded coverage of computing the probability of means. Revised discussion of random sampling and sampling error to expand laying the groundwork for the null and alternative hypothesis in the next chapter.
- Chapter 7: Overview of Statistical Hypothesis Testing: The z-Test: Expanded discussion of the logic and interpretation of the null versus the alternative hypothesis. Added emphasis here and in later chapters on the importance of using one-tailed tests only when appropriate. Expanded discussion of Type I and Type II errors.
- Chapter 8: Hypothesis Testing Using the One-sample t-Test: Revised chapter's example study to involve optimism instead of housekeeping skills. Expanded explanation of using variance to compute the standard error of the mean. Expanded explanation of the changing shape of a t-distribution and df. Revised explanation of using the t-table when df are not listed. Added emphasis here and in later chapters that the final step is to interpret a significant relationship as a researcher. Revised explanation of logic and computation of a confidence interval. Added discussion of "margin of error" as a key term.
- Chapter 9: Hypothesis Testing Using the Two-sample t-Test: Added glossary definition for mean difference ( ). Expanded explanation of difference scores and their sampling distribution in the related samples t-test.
- Chapter 10: Describing Relationships Using Correlation and Regression: Added brief discussion of correlation versus causality. Mentioned using the terms independent and dependent variable in correlational research and cautioned against it as the safer approach. Added and explained the defining z-score formula as the basis for computing the Pearson r. Added using the r-table when df are not listed. Expanded conceptual explanation of the regression line and regression procedure which is augmented by the detailed computing discussion in Appendix A. Revised discussion of how variability and size of r (and r2 ) are related to the accuracy of predictions.
- Chapter 11: Hypothesis Testing Using the One-Way Analysis of Variance: Revised introduction to mean squares and sum of squares, relating them to the previous formula for variance. Added section on one-way, within-subjects ANOVA which is augmented by the detailed computing discussion in Appendix A.
- The art-work was completely revised to be more relevant and less disruptive to the flow of the text. Formulas and "Remember" statements are now highlighted and consistently labeled for easy reference.
- Chapter 12: Hypothesis Testing Using the Two-Way Analysis of Variance: Revised the chapter to more clearly prepare students to understand and interpret a completed ANOVA , such as from SPSS, without involving the optional computing formulas presented in Appendix A. Added explanation of the advantages of factorial designs over single-factor designs. Changed chapter's example study using volume to no longer tie in with television commercials. Deleted distinction between "complete" and "incomplete" factorial; now simply define factorial as multifactor. Revised explanation of experiment-wise error. Revised explanation of main effects and collapsing. Added explanation of using cell means to compute main effect means. Expanded coverage of Eta Squared. Expanded discussion of applying the Tukey HSD to the interaction
- Chapter 13: Chi Square and Nonparametric Procedures: Revised glossary definition of nonparametric procedures. Expanded explanation of why researchers transform interval or ratio scores to ranks and then perform nonparametric procedures. Revised discussion of one-way Chi Square. Added separate, expanded section about the "goodness of fit test". Revised explanation of the logic of using nonparametric tests for ranks to test the null hypothesis. Removed the symbols from the names of the nonparametric tests for ranks except for the Spearman rS.
- A new chapter-opening element was created called Going Forward, which previews the core concepts students will encounter and need to learn in the chapter. This new feature paired with the existing Looking Back element will provide more continuity and cohesion between chapters.
- Several in-chapter Quick Practice sections were added to each chapter which provide additional examples and a brief self-test to insure student understanding before proceeding to the next topic.
- The end of chapter Study Problems were completely re-done, now with 25 multipart conceptual and computing problems per chapter, including some that require students to review and integrate material from past chapters. The answers to odd-numbered problems are still provided in Appendix C.
- All discussion of SPSS was revised and updated, although the text is complete if instructors choose not to include SPSS in their course.
- The removable Review Cards for each chapter were completely re-done to provide: (1) A point-by-point Chapter Summary with review of Key Terms; (2) Tables and lists for reviewing Procedures and Formulas, including a list of the Chapter Formulas; (3) A final Putting It All Together fill-in review that ties the chapter together and allows students to detect any weaknesses; and (4) Step-by-step SPSS Instructions for performing the procedures discussed in the chapter. By being removable, the Review Cards are reference cards that facilitate performing the end of chapter study problems and SPSS analyses, as well as forming a complete review package for exams.
- An additional removable review card contains a decision tree for selecting statistical procedures and a Summary of Formulas. The latter allows for closed-book exams without requiring students to memorize formulas.
- Chapter 1: Introduction to Statistics and Research: Added introductory material regarding the uses of statistics and why students must learn statistics. Added section on using the features of the text and developing strategies to successfully learn statistics. Added section on the role of SPSS and computers in statistics. Expanded discussion of how unrepresentative samples occur. Expanded the introduction to variables, and added qualitative and quantitative variables as key terms. Expanded coverage of independent and dependent variables, with new section and table for identifying each in an experiment.
- Every 4LTR Press solution comes complete with an engaging print textbook, tear-out review cards, an interactive digital solution (CourseMate), and an eBook all of which were directly influenced from student focus groups and surveys, and from interviews with nearly 50 faculty and students.
- Shorter, comprehensive chapters in a modern design present content in a more engaging and accessible format without minimizing coverage for your course.
- Tear-Out Review Cards at the back of the Student Editions provide students a portable study tool containing all of the pertinent information for class preparation.
- Instructor Prep Cards at the back of the Instructor's Edition make preparation simple with detachable cards for each chapter, offering a quick map of chapter content, a list of corresponding PowerPoint and video resources, additional examples, and suggested assignments and discussion questions to help you organize chapter content efficiently.
- Every 4LTR Press solution comes with CourseMate, the interactive digital component that offers a full suite of unique learning tools that appeal to different learning styles. Quizzes, audio downloads, video podcasts, and more are only a click away.
1. Introduction to Statistics and Research.
2. Creating and Using Frequency Distributions.
3. Summarizing Scores with Measures of Central Tendency.
4. Summarizing Score with Measures of Variability.
5. Describing Data with z-Scores and the Normal Standard Curve.
6. Using Probability to Make Decisions about Data.
7. Overview of Statistical Hypothesis Testing: The z-Test.
8. Hypothesis Testing Using the One-Sample t-Test.
9. Hypothesis Testing Using the Two-Sample t-Test.
10. Describing Relationships Using Correlation and Regression.
11. Hypothesis Testing Using the One-Way Analysis of Variance.
12. Understanding the Two-Way Analysis of Variance.
Chi Square and Nonparametric Procedures.
Appendix A: Additional Statistics.
Appendix B: Statistical Tables.
Appendix C: Answers to Odd-Numbered Questions.
"This presentation is top-notch and is right where it should be for the target audience. This format appeals to a wide variety of learners." - Danny Inghram, University of Central Florida
"Instructors who want a less intimidating textbook that engages the student while maintaining almost all of the critical topics of traditional textbooks should check out STAT. It is a symphony contained in a flute." - -Shelly Marmion, University of Texas at Tyler
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.
Online Instructor's Manual with Test Bank
The instructor's manual (IM) contains a variety of resources to aid instructors in preparing and presenting text material in a manner that meets their personal preferences and course needs. It presents chapter-by-chapter suggestions and resources to enhance and facilitate learning. The Test Bank (TB) contains multiple choice, completion, and problem questions to challenge your students and assess their learning. We also provide Microsoft PowerPoint lecture slides for each chapter that will assist you with your lecture by providing concept coverage using images, figures, and tables directly from the textbook. All these resources are available on the Instructor Companion Site.
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