Description

Book Synopsis
The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students'' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.

Trade Review
'Dr Warne's gift for teaching statistics is apparent in his writing of this book. Indeed, I wish I had this book when I was a student. His use of the General Linear Model as a schema for understanding how statistical methods are interrelated sets the book apart from others.' Leena J. Landmark, Associate Professor of Special Education, Sam Houston State University, USA

Table of Contents
1. Statistics and Models; 2. Levels of Data; 3. Models of Central Tendency and Variability; 4. Visual Models; 5. Linear Transformations and z-Scores; 6. Probability and the Central Limit Theorem; 7. Null Hypothesis Statistical Significance Testing and z-Tests; 8. One-Sample t-Tests; 9. Paired-Samples t-Tests; 10. Unpaired Two-Sample t-Tests; 11. Analysis of Variance; 12. Correlation; 13. Regression; 14. Chi-Squared Test; 15 Applying Statistics to Research, and Advanced Statistical Methods.

Statistics for the Social Sciences

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      Description

      Book Synopsis
      The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students'' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.

      Trade Review
      'Dr Warne's gift for teaching statistics is apparent in his writing of this book. Indeed, I wish I had this book when I was a student. His use of the General Linear Model as a schema for understanding how statistical methods are interrelated sets the book apart from others.' Leena J. Landmark, Associate Professor of Special Education, Sam Houston State University, USA

      Table of Contents
      1. Statistics and Models; 2. Levels of Data; 3. Models of Central Tendency and Variability; 4. Visual Models; 5. Linear Transformations and z-Scores; 6. Probability and the Central Limit Theorem; 7. Null Hypothesis Statistical Significance Testing and z-Tests; 8. One-Sample t-Tests; 9. Paired-Samples t-Tests; 10. Unpaired Two-Sample t-Tests; 11. Analysis of Variance; 12. Correlation; 13. Regression; 14. Chi-Squared Test; 15 Applying Statistics to Research, and Advanced Statistical Methods.

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