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Study Guide to Accompany Neil J. Salkind's Statistics for People Who (Think They) Hate Statistics
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Study Guide to Accompany Neil J. Salkind's Statistics for People Who (Think They) Hate Statistics

Sixth Edition


December 2016 | 160 pages | SAGE Publications, Inc
This study guide correlated to Neil J. Salkind’s Statistics for People Who (Think They) Hate Statistics, Sixth Edition includes chapter outlines; chapter summaries; learning objectives; key terms; exercises; true/false, multiple choice, and essay questions; as well as answers to all questions. The guide has been updated to match the organization of Salkind’s text and includes activities for the book's new Chapter 19: Data Mining: An Introduction to Getting the Most Out of Your BIG Data. 

Also available: discipline-specific study guides to accompany Salkind's Statistics for People Who (Think They) Hate Statistics, Sixth Edition.  Learn more about the study guides for Psychology and Health & Nursing,!
 
Chapter 1: Statistics or Sadistics? It’s Up to You
 
Chapter 2: Means to an End: Computing and Understanding Averages
 
Chapter 3: Vive la Différence: Understanding Variability
 
Chapter 4: A Picture Really Is Worth a Thousand Words
 
Chapter 5: Ice Cream and Crime: Computing Correlation Coefficients
 
Chapter 6: Just the Truth: An Introduction to Understanding Reliability and Validity
 
Chapter 7: Hypotheticals and You: Testing Your Questions
 
Chapter 8: Are Your Curves Normal? Probability and Why It Counts
 
Chapter 9: Significantly Significant: What It Means for You and Me
 
Chapter 10: Only the Lonely: The One-Sample z-Test
 
Chapter 11: t(ea) for Two: Tests Between the Means of Different Groups
 
Chapter 12: t(ea) for Two (Again): Tests Between the Means of Related Groups
 
Chapter 13: Two Groups Too Many? Try Analysis of Variance
 
Chapter 14: Two Too Many Factors: Factorial Analysis of Variance: A Brief Introduction
 
Chapter 15: Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient
 
Chapter 16: Predicting Who’ll Win the Super Bowl: Using Linear Regression
 
Chapter 17: What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests
 
Chapter 18: Some Other (Important) Statistical Procedures You Should Know About
 
Chapter 19: Data Mining: An Introduction to Getting the Most Out of Your BIG Data
Key features
NEW AND KEY FEATURES:
  • Chapter outlines and summaries
  • Learning objectives
  • Key terms
  • Exercises
  • True/false, multiple choice, and essay questions
  • Answer keys

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