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Study Guide for Education to Accompany Salkind and Frey's Statistics for People Who (Think They) Hate Statistics
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Study Guide for Education to Accompany Salkind and Frey's Statistics for People Who (Think They) Hate Statistics

Seventh Edition


August 2019 | 176 pages | SAGE Publications, Inc

This Study Guide for introductory statistics courses in education departments is designed to accompany Neil J. Salkind and Bruce B. Frey’s best-selling Statistics for People Who (Think They) Hate Statistics, Seventh 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 edge.sagepub.com/salkindfrey7e. 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. Computing and Understanding Averages: Means to an End
 
Chapter 3. Understanding Variability: Vivé la Différence
 
Chapter 4. Creating Graphs: A Picture Really Is Worth a Thousand Words
 
Chapter 5. Computing Correlation Coefficients: Ice Cream and Crime
 
Chapter 6. An Introduction to Understanding Reliability and Validity: Just the Truth
 
Chapter 7. Hypotheticals and You: Testing Your Questions
 
Chapter 8. Probability and Why it Counts: Fun with a Bell-Shaped Curve
 
Chapter 9. Significantly Significant: What It Means for You and Me
 
Chapter 10. The One-Sample Z-Test: Only the Lonely
 
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. Testing Relationships Using the Correlation Coefficient: Cousins or Just Good Friends?
 
Chapter 16. Using Linear Regression: Predicting the Future
 
Chapter 17. Chi-Square and Some Other Nonparametric Tests: What to Do When You’re Not Normal
 
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

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