- English
- PDF
- Available on iOS & Android
About this book
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.
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Information
Table of contents
- Cover
- Half-title
- Title page
- Copyright information
- Dedication
- Contents
- Preface
- Acknowledgements
- List of Examples
- 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 Two-Sample 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 an Introduction to Advanced Statistical Methods
- Appendix A1 z-Table
- Appendix A2 t-Table
- Appendix A3 F-Table
- Appendix A4 q-Table (Tukey's Post Hoc Test)
- Appendix A5 Critical Values for r
- Appendix A6 χ2-Table
- Glossary
- Formula Guide
- Answer Key
- References
- Author Index
- Subject Index