Study Guide for Health & Nursing to Accompany Salkind & Frey′s Statistics for People Who (Think They) Hate Statistics
eBook - ePub

Study Guide for Health & Nursing to Accompany Salkind & Frey′s Statistics for People Who (Think They) Hate Statistics

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Study Guide for Health & Nursing to Accompany Salkind & Frey′s Statistics for People Who (Think They) Hate Statistics

About this book

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

 

Also included on the open-access study site are SPSS datafiles containing survey data from health students, which are used for the exercises in the Study Guide. Data were generated for instruction purposes, and topics cover a range of health-related questions that are pertinent to health students, including the number of hours spent exercising per week, smoking status, number of hours slept per week, number of alcoholic beverages consumed per week, and sources of worry. The database includes 22 variables.

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Yes, you can access Study Guide for Health & Nursing to Accompany Salkind & Frey′s Statistics for People Who (Think They) Hate Statistics by Neil J. Salkind,Bruce B. Frey,Michele M. Wood in PDF and/or ePUB format, as well as other popular books in Social Sciences & Nursing. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Contents
  7. General Outline
  8. 1 Statistics or Sadistics? It’s Up to You
  9. 2 Computing and Understanding Averages: Means to an End
  10. 3 Understanding Variability: Vive la Différence
  11. 4 Creating Graphs: A Picture Really Is Worth a Thousand Words
  12. 5 Computing Correlation Coefficients: Ice Cream and Crime
  13. 6 An Introduction to Understanding Reliability and Validity: Just the Truth
  14. 7 Hypotheticals and You: Testing Your Questions
  15. 8 Probability and Why It Counts: Fun With a Bell-Shaped Curve
  16. 9 Significantly Significant: What It Means for You and Me
  17. 10 The One-Sample z-Test: Only the Lonely
  18. 11 t(ea) for Two: Tests Between the Means of Different Groups
  19. 12 t(ea) for Two (Again): Tests Between the Means of Related Groups
  20. 13 Two Groups Too Many? Try Analysis of Variance
  21. 14 Two Too Many Factors: Factorial Analysis of Variance—A Brief Introduction
  22. 15 Testing Relationships Using the Correlation Coefficient: Cousins or Just Good Friends?
  23. 16 Using Linear Regression: Predicting the Future
  24. 17 Chi-Square and Some Other Nonparametric Tests: What to Do When You’re Not Normal
  25. 18 Some Other (Important) Statistical Procedures You Should Know About
  26. 19 Data Mining: An Introduction to Getting the Most Out of Your BIG Data