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

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

Sixth Edition

December 2017 | 176 pages | SAGE Publications, Inc

This Study Guide for introductory statistics courses in education departments is designed to accompany Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics, Sixth Edition. Extra exercises; activities; and true/false, multiple choice, and essay questions (with answers to all questions) feature education-specific content to help further student mastery of text concepts.


A dataset is provided for use with the book at The dataset contains simulated data to represent a random elementary school in the US. This fictitious elementary school consists of grade K-5 and has traditional classes taught in English as well as Spanish immersion classes. The simulated data represents a set of 70 teachers in this school. The dataset allows students to run various practice exercises in SPSS.

Chapter 1: Statistics or Sadistics? It's Up to You.
Chapter 2: Means to an End: Computing and Understanding Averages
Chapter 3: Vive la Difference: 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


  • Chapter outlines and summaries
  • Learning objectives
  • Key terms
  • Exercises
  • True/false, multiple choice, and essay questions
  • Answer keys

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