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

Sixth Edition


February 2018 | 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 edge.sagepub.com/salkind6e. 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

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ISBN: 9781544320052
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