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ISBN13: 978-0534586225

ISBN10: 0534586228

Cover type:

Edition/Copyright: 4TH 02

Publisher: Wadsworth, Inc

Published: 2002

International: No

ISBN10: 0534586228

Cover type:

Edition/Copyright: 4TH 02

Publisher: Wadsworth, Inc

Published: 2002

International: No

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Does the thought of taking a statistics course make your students nervous? Authors Frederick Gravetter and Larry B. Wallnau use interesting real-world examples and applications to quell student fears and to reveal the ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES. This book helps students get beyond thinking of statistics as merely a course they have to take and come to appreciate it as a set of essential tools that helps us make sense of data in our information-driven world. Gravetter and Wallnau skillfully demonstrate that having a basic understanding of a variety of statistical procedures will help students understand published findings, as well as become savvy consumers of information. The authors employ an intuitive, straightforward writing style as well as numerous learning checks, both of which support students' interest in and understanding of the material.

**Benefits:**

- Statistical formulas are presented in both standard mathematical notation and in everyday language with explanations of how and why formulas are used.
- NEW! A new section at the end of each chapter guides the student to interactive Statistical Workshops found on the Web, as well as quizzes for the student to use in testing their knowledge and comprehension of the coverage in each chapter.
- Real-world, in-text examples show students how behavioral statistics apply to everyday life.
- "In the Literature" sections are included in most chapters and explain how to report statistical results in scientific journals that use the American Psychological Association format.
- "Statistics Organizer," found at the end of the text, is a decision tree which helps guide students to the appropriate statistical procedure.
- NEW! New sections on measuring and describing effect size using Cohen's d and r squared in most of the hypothesis testing chapters, i. e., chapters 10, 11, 13, and 16.
- NEW! Chapter 14 now includes repeated-measures analysis of variance in addition to the two-factor analysis.
- NEW! New On the Computer sections explaining SPSS and Minitab printouts for many statistical calculations have been added in Chapters 10, 11, 13, 14, 15, and 16.
- NEW! New section in Chapter 4 on biased and unbiased statistics.
- NEW! Chapter 13 now includes expanded coverage on post hoc tests and a discussion of planned versus unplanned tests and introduces Tukey's HSD test along with the Scheffe test.

Author Bio

**Gravetter, Frederick : State University of New York, Brockport **

**Wallnau, Larry B. : State University of New York, Brockport **

1. Introduction to Statistics.

2. Frequency Distributions.

3. Central Tendency.

4. Variability.

5. Z-Scores: Location of Scores and Standard Distributions.

6. Probability.

7. Probability and Samples: The Distribution of Sample Means.

8. Introduction to Hypothesis Testing.

9. Introduction to the t Statistic.

10. Hypothesis Tests with Two Independent Samples.

11. Hypothesis Tests with Two Related Samples.

12. Estimation.

13. Introduction to Analysis of Variance.

14. Independent Measures.

15. Correlation and Regression.

16. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.

Frederick Gravetter and Larry B. Wallnau

ISBN13: 978-0534586225ISBN10: 0534586228

Cover type:

Edition/Copyright: 4TH 02

Publisher: Wadsworth, Inc

Published: 2002

International: No

Does the thought of taking a statistics course make your students nervous? Authors Frederick Gravetter and Larry B. Wallnau use interesting real-world examples and applications to quell student fears and to reveal the ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES. This book helps students get beyond thinking of statistics as merely a course they have to take and come to appreciate it as a set of essential tools that helps us make sense of data in our information-driven world. Gravetter and Wallnau skillfully demonstrate that having a basic understanding of a variety of statistical procedures will help students understand published findings, as well as become savvy consumers of information. The authors employ an intuitive, straightforward writing style as well as numerous learning checks, both of which support students' interest in and understanding of the material.

**Benefits:**

- Statistical formulas are presented in both standard mathematical notation and in everyday language with explanations of how and why formulas are used.
- NEW! A new section at the end of each chapter guides the student to interactive Statistical Workshops found on the Web, as well as quizzes for the student to use in testing their knowledge and comprehension of the coverage in each chapter.
- Real-world, in-text examples show students how behavioral statistics apply to everyday life.
- "In the Literature" sections are included in most chapters and explain how to report statistical results in scientific journals that use the American Psychological Association format.
- "Statistics Organizer," found at the end of the text, is a decision tree which helps guide students to the appropriate statistical procedure.
- NEW! New sections on measuring and describing effect size using Cohen's d and r squared in most of the hypothesis testing chapters, i. e., chapters 10, 11, 13, and 16.
- NEW! Chapter 14 now includes repeated-measures analysis of variance in addition to the two-factor analysis.
- NEW! New On the Computer sections explaining SPSS and Minitab printouts for many statistical calculations have been added in Chapters 10, 11, 13, 14, 15, and 16.
- NEW! New section in Chapter 4 on biased and unbiased statistics.
- NEW! Chapter 13 now includes expanded coverage on post hoc tests and a discussion of planned versus unplanned tests and introduces Tukey's HSD test along with the Scheffe test.

Author Bio

**Gravetter, Frederick : State University of New York, Brockport **

**Wallnau, Larry B. : State University of New York, Brockport **

Table of Contents

2. Frequency Distributions.

3. Central Tendency.

4. Variability.

5. Z-Scores: Location of Scores and Standard Distributions.

6. Probability.

7. Probability and Samples: The Distribution of Sample Means.

8. Introduction to Hypothesis Testing.

9. Introduction to the t Statistic.

10. Hypothesis Tests with Two Independent Samples.

11. Hypothesis Tests with Two Related Samples.

12. Estimation.

13. Introduction to Analysis of Variance.

14. Independent Measures.

15. Correlation and Regression.

16. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.

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