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Solution Manual for Statistics for People Who (Think They) Hate Statistics, 7th Edition, Neil J. Salkind,

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Solution Manual for Statistics for People Who (Think They) Hate Statistics, 7th Edition, Neil J. Salkind

Product details:

ISBN-10 ‏ : ‎ 1544381859
ISBN-13 ‏ : ‎ 978-1544381855
Author: Neil J. Salkind

Now in its Seventh Edition, Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS®, the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more. The Seventh Edition includes new real-world examples, additional coverage on multiple regression and power and effect size, and a robust interactive eBook with video tutorials and animations of key concepts. In the end, students who (think they) hate statistics will understand how to explain the results of many statistical analyses and won’t be intimidated by basic statistical tasks.

Table of Contents

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