Statistics for People Who (Think They) Hate Statistics 7e Neil J. Salkind
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The bestselling Statistics for People Who (Think They) Hate Statistics is now in its Seventh Edition with new co-author Bruce B. Frey. This text teaches an often intimidating and difficult subject in a way that is informative, personable, and clear. The authors take students through various statistical procedures, beginning with correlation and graphical representation of data and ending with inferential techniques and analysis of variance. In addition, the text provides instruction in SPSS, and includes reviews of more advanced techniques, such as reliability, validity, introductory non-parametric statistics, and more.
The new seventh edition includes:
Retaining the student-friendly tone and presentation that made this text an international bestseller, new co-author Bruce Frey has added new examples, and reworked or expanded the explanations of many concepts to provide extra clarity.
A key feature called "The Path to Wisdom and Knowledge": a flowchart in each of the main chapters showing readers how to select the appropriate test statistic.
More on multiple regression, power and effect size, and a new feature on statisticians throughout history called "People (Who Liked) Statistics".
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:
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
The new seventh edition includes:
Retaining the student-friendly tone and presentation that made this text an international bestseller, new co-author Bruce Frey has added new examples, and reworked or expanded the explanations of many concepts to provide extra clarity.
A key feature called "The Path to Wisdom and Knowledge": a flowchart in each of the main chapters showing readers how to select the appropriate test statistic.
More on multiple regression, power and effect size, and a new feature on statisticians throughout history called "People (Who Liked) Statistics".
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:
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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