This book is a must-have for anyone needing to understand large or small amounts of data. It describes how to build and interpret graphs, showing how "understanding data" means that the graph must clearly and succinctly answer questions about the data. In 16 of the 19 chapters research questions are presented, and the reader builds the appropriate graph needed to answer the questions. This handy guide can be used in conjunction with any introductory or intermediate statistics book where the focus is on in-depth presentation of how graphs are used. This book will also useful for graduate students doing research at the masters or doctoral level. The book also contains a chapter designed to address many of the ways that graphs can be used to mislead the graph reader.
Chapter 1. Introduction: Graphical Presentation of Data Chapter 2. Simple Bar Graph Chapter 3. Stacked Bar Graph Chapter 4. Clustered Bar Graph Chapter 5. Pie Graph Chapter 6. Simple Line Graph Chapter 7. Multiple Line Graph Chapter 8. Simple Histogram Chapter 9. Population Pyramid Chapter 10. 1-D Boxplot Chapter 11. Simple Boxplot Chapter 12. Clustered Boxplot Chapter 13. Simple Scatterplot Chapter 14. Grouped Scatterplot Chapter 15. High-Low Graphs Chapter 16. Paneling on One Dimension Chapter 17. Paneling on Two Dimensions Chapter 18. Deceptive Graphing Examples Chapter 19. Summary Appendix A. SPSS Basic Information Appendix B. Answers to Chapter Exercises Appendix C. Chapters and SPSS Databases Used Appendix D. Graph Selection - Type and Purpose