Statistics For People Who (think They) Hate Statistics - 7th International Student Edition

By (author) Salkind Neil J.; By (author) Frey Bruce B.
Short description/annotation:
With new co-author Bruce B. Frey, this seventh edition of the bestselling Statistics for People Who (Think They) Hate Statistics teaches an often intimidating and difficult subject in a way that is informative, personable, and clear.
Description:
The bestselling Statistics for People Who (Think They) Hate Statistics is now in its Seventh Edition with new co-author Bruce B. Frey. This text teaches an often intimidating and difficult subject in a way that is informative, personable, and clear. The authors take 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 provides instruction in SPSS, and includes reviews of more advanced techniques, such as reliability, validity, introductory non-parametric statistics, and more. The text includes a key feature called "The Path to Wisdom and Knowledge": a flowchart in each of the main chapters showing readers how to select the appropriate test statistic. The new edition includes more on multiple regression, power and effect size, and a new feature on statisticians throughout history called "People Who Loved Statistics". Retaining the student-friendly tone and presentation that made this text an international bestseller, new co-author Bruce Frey has added new examples, and reworked or expanded the explanations of many concepts to provide extra clarity.
Table of contents:
A Note to the Student: Why We Wrote This Book Acknowledgements And Now, About the Seventh Edition About the Authors Part I: Yippee! I′m in Statistics! Chapter 1. Statistics or Sadistics? It’s Up to You What You Will Learn in This Chapter Why Statistics? A 5-Minute History of Statistics Statistics: What It Is (and Isn’t) What Am I Doing in a Statistics Class? Ten Ways to Use This Book (and Learn Statistics at the Same Time!) About the Book’s Features Key to Difficulty Icons Glossary Summary Part II: Zigma Freud and Descriptive Statistics Chapter 2. Computing and Understanding Averages: Means to an End What You Will Learn in This Chapter Computing the Mean Computing the Median Computing the Mode When to Use What Measure of Central Tendency (and All You Need to Know About Scales of Measurement for Now) Using SPSS to Compute Descriptive Statistics Real-World Stats Summary Time to Practice Chapter 3. Understanding Variability: Vivé la Différence What You Will Learn in This Chapter Why Understanding Variability Is Important Computing the Range Computing the Standard Deviation Computing the Variance Using SPSS to Compute Measures of Variability Real-World Stats Summary Time to Practice Chapter 4. Creating Graphs: A Picture Really Is Worth a Thousand Words What You Will Learn in This Chapter Why Illustrate Data? Ten Ways to a Great Figure (Eat Less and Exercise More?) First Things First: Creating a Frequency Distribution The Plot Thickens: Creating a Histogram The Next Step: A Frequency Polygon Other Cool Ways to Chart Data Using the Computer (SPSS, That Is) to Illustrate Data Real-World Stats Summary Time to Practice Chapter 5. Computing Correlation Coefficients: Ice Cream and Crime What You Will Learn in This Chapter What Are Correlations All About? Computing a Simple Correlation Coefficient Understanding What the Correlation Coefficient Means Squaring the Correlation Coefficient: A Determined Effort Other Cool Correlations Parting Ways: A Bit About Partial Correlation Real-World Stats Summary Time to Practice Chapter 6. An Introduction to Understanding Reliability and Validity: Just the Truth What You Will Learn in This Chapter An Introduction to Relia