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Author Neil J. Salkind takes students through various statistical procedures, beginning with correlation and graphical representation of data and ending with inferential techniques and analysis of variance. In addition, the text covers SPSS, and includes reviews of more advanced techniques, such as reliability, validity, introductory non-parametric statistics, and more. Pedagogical features include sidebars offering additional technical information about the topics presented and points that reinforce major themes in the book. Finally, this new edition includes more examples than ever before, an expanded set of exercises at the end of each chapter, expanded data sets for Excel and SPSS, and a new Real World Stats feature which provides an applied example of the content covered in the chapter.
New to the Fifth Edition
A new chapter 10 on the one sample z test, offering a further introduction to inferential statistics
More practice exercises at the end of each chapter, varying in their level of application, which use both the SPSS Version 19 and Excel 2010 data sets (available on the student study site)
A revised appendix that covers SPSS version 19.
A new appendix E with a refresher on basic arithmetic operations and accompanying exercises
Rich pedagogical features include sidebars offering additional technical information about the topics presented and points that reinforce major themes in the book
"...offers a slow-paced, entertaining introduction to the topic...begins with a discussion of the 'language' of statistics, then goes on to cover both descriptive and inferential statistics."
“The author has a wonderful way of taking complex material and presenting it to an already anxiety-filled audience in a manner that not only sets students’ nerves at ease but facilitates their learning to apply the material in useful ways. This text should be required reading in all beginning-level stats classes if for no other reason than to build confidence in the students.”
“There is no extraneous information in the text. It's what students need to know, presented in a way that does not intimidate.”
Dr. David F. Nicholson
“The word statistics is often seen as a nasty word to social scientists but Salkind deals with that and makes it somewhat enjoyable for the students and an absolute joy for the instructors.”
“It is easy to follow and great for learning . . . My students absolutely love the book.”
Daniel R. Block
“I truly think this is the best statistics book I have encountered."
Daniel R. Block
“I truly think this is the best statistics book I have encountered. "
Dr. Neil Penny
"Another great teaching tool from an author who understands how to teach statistics."
Dr. Roberto Torres
"Excellent user-friendly resource. Only gets better edition after edition."
Lewis H. Margolis
"This book speaks to students!"
"As awell written, well organized, and understandable introduction to statistical reasoning, use and what meaning they may have, the reader will gain a much better grasp of statistics and have better ability to consume social science research."
Jose R. Rivera
"Salkind's book has been (still is) an extraordinary part of the process of Statistical learning in my courses since 2004. "
- Neil Penny
"Another great teaching tool from an author who understands how to teach statistics. "
- Roberto Torres
"Excellent user-friendly resource. Only gets better edition after edition. "
“I am taking statistics at the graduate level for a Masters program, late in life I might add, and I hate statistics to the depth, breadth, and volume of all the oceans of all the earth combined. This text has helped me more than any other. Even more, I love brownies. And the recipe is fabulous. Thanks.”
Neil J. Salkind received his Ph D from the University of Maryland in Human Development. After teaching for 35 years at the University of Kansas, he remains a professor emeritus in the department of psychology and research in education, where he continues to collaborate with colleagues and work with students. His early interests were in the area of children’s cognitive development, and after research in the areas of cognitive style and (what was then known as) hyperactivity, he was a postdoctoral fellow at the University of North Carolina’s Bush Center for Child and Family Policy. His work then changed direction to focus on child and family policy, specifically the impact of alternative forms of public support on various child and family outcomes. He has delivered more than 150 professional papers and presentations, written more than 100 trade and textbooks, and is the author of Statistics for People Who (Think They) Hate Statistics (SAGE), Theories of Human Development (SAGE), and Exploring Research (Prentice Hall). He has edited several encyclopedias, including the Encyclopedia of Human Development, the Encyclopedia of Measurement and Statistics, and the recently published Encyclopedia of Research Design. He was editor of Child Development Abstracts and Bibliography for 13 years and lives in Lawrence, Kansas, where he likes to read, swim with the River City Sharks, letterpress print using 1820s technology, bake brownies (see the Excel version of Statistics for People Who (Think They) Hate Statistics for the recipe at http://www.statisticsforpeople.com), and poke around old Volvos and old houses.
PART I. YIPPEE! I'M IN STATISTICS
1. Statistics or Sadistics? It's Up to You
PART II. SIGMA FREUD AND DESCRIPTIVE STATISTICS
2. Means to an End: Computing and Understanding Averages
3. Vive la Difference: Understanding Variability
4. A Picture Really Is Worth a Thousand Words
5. Ice Cream and Crime: Correlation Coefficients
6. Just the Truth: An Introduction to Understanding Reliability and Validity
PART III. TAKING CHANCES FOR FUN AND PROFIT
7. Hypotheticals and You: Testing Your Questions
8. Are Your Curves Normal? Probability and Why It Counts
PART IV. SIGNIFICANTLY DIFFERENCE: USING INFERENTIAL STATISTICS
9. Significantly Significant: What It Means for You and Me
10. Only the Lonely: The One-Sample z Test
11. t(ea) for Two: Tests Between the Means of Different Groups
12. t(ea) for Two (Again): Tests Between the Means of Related Groups
13. Two Groups Too Many? Try Analysis of Variance
14. Two Too Many Factors: Factorial Analysis of Variance
15. Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient
16. Predicting Who'll Win the Super Bowl: Using Linear Regression
17. What to Do When You're Not Normal: Chi-Square and Some Other Nonparametric Tests
18. Some Other (Important) Statistical Problems You Should Know About
19. A Statistical Software Sampler
PART V. TEN THINGS YOU'LL WANT TO KNOW AND REMEMBER
20. The Ten (or More) Best Internet Sites for Statistics Stuff
21. The Ten Commandments of Data Collection
Appendix A. SPSS in Less Than 30 Minutes
Appendix B. Tables
Appendix C. Data Sets
Appendix D. Answers to Practice Questions
Appendix E. Math: Just the Basics