Statistics for People Who (Think They) Hate

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

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
Tables
Data Sets
Answers to Practice Questions
Table of Contents provided by Ingram. All Rights Reserved.

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Statistics for People Who (Think They) Hate Statistics

Summary

Table of Contents

Supplemental Materials