Gravetter and Wallnau's proven best-seller offers the straightforward instruction, accuracy, built-in learning aids, and wealth of real-world examples that professors AND students have come to appreciate. The authors integrate applications to ensure that even students with a weak background in mathematics can achieve mastery of statistical concepts. They skillfully demonstrate that having an understanding of statistical procedures will help them not only understand published findings, but also become savvy consumers of information. Known for its exceptional accuracy and examples, this text also has a complete supplements package to support instructors with class preparation and testing.
Benefits :
NEW! The measurement of EFFECT SIZE is now included throughout the inferential statistics chapters (8, 9, 10, 11, 13, 14, 15, 16, and 17).
NEW! Extraordinary support for new instructors, adjuncts or part-time instructors! The Instructor's Manual now includes a section on "what to do and what not to do", teaching tips for class, lecture outlines, and a sample syllabi.
Each chapter begins with an "Overview" and ends with "Summary," "Focus on Problem Solving," "Demonstrations," and "Problems" sections to give students the opportunity to assimilate the material and work through sample problems.
Multiple end of chapter problems provides students with the practice they need.
Numerous learning checks in every chapter help students test their understanding before exam time.
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 demonstrate how statistical results are reported in APA style and explain the notation and jargon used.
A "Statistics Organizer," found at the end of the text, provides a decision tree that guides students to the appropriate statistical procedure within the text.
NEW! The sample mean is now identified by M (in accordance with APA guidelines), instead of the older symbol X-bar (an X with an overbar).
NEW! Since modifying the unit normal table several editions ago, there have been requests to go back to the original table. This edition addresses those requests by incorporating the missing piece from the old table into the new table. The table now has a four-column format (instead of three), providing the functionality of both the old and new versions.
NEW! Discussions of the relationship between samples and populations, as well as coverage of the concept of sampling error, has been clarified. New figures have been included to illustrate these concepts (Ch. 1).
NEW! To simplify the discussion of biased and unbiased statistics, this discussion now focuses on sample variance instead of sample standard deviation (Ch. 4).
NEW! A new section demonstrates how z-scores can be used as inferential statistics to help evaluate the outcome of a research study (Ch. 5).
NEW! Expanded coverage of the relationship between standard error and sample size, as well as a new section that illustrates how standard error is used in the context of inferential statistics, complements the discussion of standard error. (Ch. 7).
NEW! WebTutor is now available for this text. WebTutor provides a dynamic, online teaching and learning environment that instructors can customize to meet the needs of their course.
NEW! A new Appendix directs students to appropriate Web resources.
1. Introduction to Statistics. 2. Frequency Distributions. 3. Central Tendency. 4. Variability. 5. z-Scores: Location of Scores and Standardized Distributions. 6. Probability. 7. Probability and Samples: The Distribution of Sample Means. 8. Introduction to Hypothesis Testing. 9. Introduction to the t-Statistics. 10. The t-Test for Two Independent Samples. 11. The t-Test for Two Related Samples. 12. Estimation. 13. Introduction to Analysis of Variance. 14. Repeated-Measures Analysis of Variance (ANOVA). 15. Two-Factor Analysis of Variance (Independent Measures). 16. Correlation and Regression. 17. The Chi-Square Statistic: Tests for Goodness of Fit and Independence. 18. The Binomial Test. 19. Statistical Techniques for Ordinal Data: Mann-Whitney, Wilcoxson, and Krushal-Wallis Tests.
Appendix A: Basic Mathematics Review. Appendix B: Statistical Tables. Appendix C: Solutions for Odd-Numbered Problems in the Text.
Other Editions for Statistics for Behavior Sciences and Study Guide
Gravetter and Wallnau's proven best-seller offers the straightforward instruction, accuracy, built-in learning aids, and wealth of real-world examples that professors AND students have come to appreciate. The authors integrate applications to ensure that even students with a weak background in mathematics can achieve mastery of statistical concepts. They skillfully demonstrate that having an understanding of statistical procedures will help them not only understand published findings, but also become savvy consumers of information. Known for its exceptional accuracy and examples, this text also has a complete supplements package to support instructors with class preparation and testing.
Benefits :
NEW! The measurement of EFFECT SIZE is now included throughout the inferential statistics chapters (8, 9, 10, 11, 13, 14, 15, 16, and 17).
NEW! Extraordinary support for new instructors, adjuncts or part-time instructors! The Instructor's Manual now includes a section on "what to do and what not to do", teaching tips for class, lecture outlines, and a sample syllabi.
Each chapter begins with an "Overview" and ends with "Summary," "Focus on Problem Solving," "Demonstrations," and "Problems" sections to give students the opportunity to assimilate the material and work through sample problems.
Multiple end of chapter problems provides students with the practice they need.
Numerous learning checks in every chapter help students test their understanding before exam time.
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 demonstrate how statistical results are reported in APA style and explain the notation and jargon used.
A "Statistics Organizer," found at the end of the text, provides a decision tree that guides students to the appropriate statistical procedure within the text.
NEW! The sample mean is now identified by M (in accordance with APA guidelines), instead of the older symbol X-bar (an X with an overbar).
NEW! Since modifying the unit normal table several editions ago, there have been requests to go back to the original table. This edition addresses those requests by incorporating the missing piece from the old table into the new table. The table now has a four-column format (instead of three), providing the functionality of both the old and new versions.
NEW! Discussions of the relationship between samples and populations, as well as coverage of the concept of sampling error, has been clarified. New figures have been included to illustrate these concepts (Ch. 1).
NEW! To simplify the discussion of biased and unbiased statistics, this discussion now focuses on sample variance instead of sample standard deviation (Ch. 4).
NEW! A new section demonstrates how z-scores can be used as inferential statistics to help evaluate the outcome of a research study (Ch. 5).
NEW! Expanded coverage of the relationship between standard error and sample size, as well as a new section that illustrates how standard error is used in the context of inferential statistics, complements the discussion of standard error. (Ch. 7).
NEW! WebTutor is now available for this text. WebTutor provides a dynamic, online teaching and learning environment that instructors can customize to meet the needs of their course.
NEW! A new Appendix directs students to appropriate Web resources.
Table of Contents
1. Introduction to Statistics. 2. Frequency Distributions. 3. Central Tendency. 4. Variability. 5. z-Scores: Location of Scores and Standardized Distributions. 6. Probability. 7. Probability and Samples: The Distribution of Sample Means. 8. Introduction to Hypothesis Testing. 9. Introduction to the t-Statistics. 10. The t-Test for Two Independent Samples. 11. The t-Test for Two Related Samples. 12. Estimation. 13. Introduction to Analysis of Variance. 14. Repeated-Measures Analysis of Variance (ANOVA). 15. Two-Factor Analysis of Variance (Independent Measures). 16. Correlation and Regression. 17. The Chi-Square Statistic: Tests for Goodness of Fit and Independence. 18. The Binomial Test. 19. Statistical Techniques for Ordinal Data: Mann-Whitney, Wilcoxson, and Krushal-Wallis Tests.
Appendix A: Basic Mathematics Review. Appendix B: Statistical Tables. Appendix C: Solutions for Odd-Numbered Problems in the Text.