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

Sixth Edition


© 2018 | 168 pages | SAGE Publications, Inc

This Study Guide for introductory statistics courses in health and nursing departments is designed to accompany Neil J. Salkind’s 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 health-specific content to help further student mastery of text concepts.

 

Also included on the open-access study site at edge.sagepub.com/salkind6e are SPSS datafiles containing survey data from health students, which are used for the exercises in the Study Guide.

 
1. Statistics or Sadistics? It’s Up to You
 
2. Means to an End: Computing and Understanding Averages
 
3. Vive la Différence: Understanding Variability
 
4. A Picture Really Is Worth a Thousand Words
 
5. Ice Cream and Crime: Computing Correlation Coefficients
 
6. Just the Truth: An Introduction to Understanding Reliability and Validity
 
7. Hypotheticals and You: Testing Your Questions
 
8. Are Your Curves Normal? Probability and Why It Counts
 
9. Significantly Significant: What It Means for You and Me
 
10. Only the Lonely: The One-Sample z-Test
 
11. t(EA) for Two: Tests Between the Means of Different Groups
 
12. t(EA) for Two (Again): Tests Between the Means of Related Groups
 
13. Two Groups Too Many? Try Analysis of Variance
 
14. Two Too Many Factors: Factorial Analysis of Variance: A Brief Introduction
 
15. Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient
 
16. Predicting Who’ll Win the Super Bowl: Using Linear Regression
 
17. What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests
 
18. Some Other (Important) Statistical Procedures You Should Know About
 
19. (Mini) 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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