Produktbild: Salkind, N: Study Guide for Education to Accompany Salkind a

Salkind, N: Study Guide for Education to Accompany Salkind a for People Who Think They Hate Statistic

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

04.09.2019

Verlag

Sage Publications

Seitenzahl

176

Maße (L/B/H)

27.9/21.8/1.2 cm

Gewicht

450 g

Auflage

7th edition

Sprache

Englisch

ISBN

978-1-5443-9597-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

04.09.2019

Verlag

Sage Publications

Seitenzahl

176

Maße (L/B/H)

27.9/21.8/1.2 cm

Gewicht

450 g

Auflage

7th edition

Sprache

Englisch

ISBN

978-1-5443-9597-5

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  • Produktbild: Salkind, N: Study Guide for Education to Accompany Salkind a
  • 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