Questions About This Book?
What version or edition is this?
What is included with this book?
- The Used copy of this book is not guaranteed to include any supplemental materials. Typically, only the book itself is included.
The bestselling Statistics for People Who (Think They) Hate Statistics is now in its fourth edition! This text teaches an often intimidating and difficult subject in a way that is informative, personable, and clear.
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, and a more comprehensive glossary.
‘’Your book has changed my perception and attitude towards statistics. It is very well written, the language is completely user friendly and the progression of new concepts within each chapter is fantastic. Although my class is only on chapter 5 at this point, I have found my interest in the concepts and order in which you introduce them becoming greater. I thank you with very much appreciation as I was someone who dreaded taking statistics and thought I hated it!’’ - Jessica Maes, graduate student
‘’Your book is the best textbook I have ever read! It was so clear and concise and I loved the humor. I can't thank you enough for writing such a fantastic textbook.’’ - Kathy Culp, Student
Table of Contents
|Yippee! I'm in Statistics|
|Statistics or Sadistics? It's Up to You|
|Sigma Freud and Descriptive Statistics|
|Means to an End: Computing and Understanding Averages|
|Vive la Différence: Understanding Variability|
|A Picture Really Is Worth a Thousand Words|
|Ice Cream and Crime: Computing Correlation Coefficients|
|Just the Truth: An Introduction to Understanding Reliability and Validity|
|Taking Chances for Fun and Profit|
|Hypotheticals and You: Testing Your Questions|
|Are Your Curves Normal? Probability and Why It Counts|
|Significantly Different: Using Inferential Statistics|
|Significantly Significant: What It Means for You and Me|
|Only The Lonely: The One Sample Z test|
|t(ea) for Two: Tests Between the Means of Different Groups|
|t(ea) for Two (Again): Tests Between the Means of Related Groups|
|Two Groups Too Many? Try Analysis of Variance|
|Two Too Many Factors: Factorial Analysis of Variance|
|Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient|
|Predicting Who'll Win the Super Bowl: Using Linear Regression|
|What to Do When You're Not Normal: Chi-Square and Some Other Nonparametric Tests|
|Some Other (Important) Statistical Procedures You Should Know About|
|A Statistical Software Sampler|
|Ten Things You'll Want to Know and Remember|
|The Ten (or More) Best Internet Sites for Statistics Stuff|
|The Ten Commandments of Data Collection|
|SPSS in Less Than 30 Minutes|
|Answers to Practice Questions|
|Table of Contents provided by Ingram. All Rights Reserved.|