Understanding Statistics in the Behavioral Sciences, 10th Edition

Robert R. Pagano

Copyright 2013
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Understanding Statistics in the Behavioral Sciences 10th Edition by Robert R. Pagano

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Meet the Author
What's New
Features
Table of Contents
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Overview

Based on over 30 years of successful teaching experience in this course, Robert Pagano's introductory text takes an intuitive, concepts-based approach to descriptive and inferential statistics. He uses the sign test to introduce inferential statistics, empirically derived sampling distributions, many visual aids, and lots of interesting examples to promote student understanding. One of the hallmarks of this text is the positive feedback from students—even students who are not mathematically inclined praise the text for its clarity, detailed presentation, and use of humor to help make concepts accessible and memorable. Thorough explanations precede the introduction of every formula, and the exercises that immediately follow include a step-by-step model that lets students compare their work against fully solved examples. This combination makes the text perfect for students taking their first statistics course in psychology or other social and behavioral sciences.

Meet the Authors

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Robert R. Pagano

Robert R. Pagano received a Bachelor of Electrical Engineering degree from Rensselaer Polytechnic Institute in 1956 and a Ph.D. in Biological Psychology from Yale University in 1965. He was Assistant Professor and Associate Professor in the Department of Psychology at the University of Washington, Seattle, from 1965 to 1989. He was Associate Chairman of the Department of Neuroscience at the University of Pittsburgh, from 1990 to June 2000. While there, in addition to his other duties, he served as Director of Undergraduate Studies, was the departmental adviser for undergraduate majors, taught both undergraduates and graduate statistics courses, and served as a statistical consultant for departmental faculty. Pagano was also Director of the Statistical Cores for two NIH center grants in schizophrenia and Parkinson's disease. He retired from the University of Pittsburgh in June 2000. Pagano taught introductory statistics courses at the University of Washington and at the University of Pittsburgh for over thirty years combined. While at the University of Washington, he was a finalist for the Outstanding Teaching award for his instruction of introductory statistics.

What's New

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UNDERSTANDING STATISTICS IN THE BEHAVIORAL SCIENCES, 10E includes a major increase in coverage of SPSS. A new Appendix E, "Introduction to SPSS," is included. The increase in SPSS coverage jumps from two chapters in the previous edition to coverage in Chapters 2–7 and 13–17.
Each chapter has at least 2 additional end-of-chapter problems requiring students to use SPSS. With the inclusion of significantly more SPSS content, students can learn how to use the tool without recourse to additional material and are able to practice on problems specifics to the textbook material.
The Newman-Keuls post-hoc test is replaced by the Scheffe test and various symbols used in 9E are replaced with more conventional choices.

Features

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Unlike most texts, Pagano introduces inferential statistics using the sign test. This intuitive and easily understood inference test facilitates understanding of the basic concepts underlying inferential statistics.
Thorough explanations are integrated with equations when discussing inference tests. Pagano uses empirically derived sampling distributions to promote understanding of each inference test.
A summary chapter ties all of inference testing together, and gives students practice in determining the correct inference test to use across a wide variety of experiments. A unique decision-tree diagram is presented to help determine the correct test.
Pagano provides a full chapter on power (Chapter 11). This complete chapter, used in conjunction with the sign test, promotes better understanding of this complex topic.
Varied and interesting illustrative examples appear in abundance throughout the text and are immediately followed by at least two fully solved practice problems giving students immediate practice in solving problems with a step-by-step model against which to compare his/her work.

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Part I: OVERVIEW.
1. Statistics and Scientific Method.
Part II: DESCRIPTIVE STATISTICS.
2. Basic Mathematical and Measurement Concepts.
3. Frequency Distributions.
4. Measures of Central Tendency and Variability.
5. The Normal Curve and Standard Scores.
6. Correlation.
7. Linear Regression.
Part III: INFERENTIAL STATISITCS.
8. Random Sampling and Probability.
9. Binomial Distribution.
10. Introduction to Hypothesis Testing Using the Sign Test.
11. Power.
12. Sampling Distributions, Sampling Distribution of the Mean, the Normal Deviate (z) Test.
13. Student's t-Test for Single Samples.
14. Student's t-Test for Correlated and Independent Groups.
15. Introduction to the Analysis of Variance.
16. Introduction to Two-Way Analysis of Variance.
17. Chi-Square and Other Nonparametric Tests.
18. Review of Inferential Statistics.
Appendix A: Review of Prerequisite Mathematics.
Appendix B: Equations.
Appendix C: Answers to End-of-Chapter Questions and Problems.
Appendix D: Tables.
Appendix E: Introduction to SPSS®.