Statistical Graphics for Univariate and Bivariate Data
eBook - PDF

Statistical Graphics for Univariate and Bivariate Data

  1. 107 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Statistical Graphics for Univariate and Bivariate Data

About this book

Author William G. Jacoby focuses on graphical displays that researchers can employ as an integral part of the data analysis process. Such visual depictions are frequently more revealing than traditional, numerical summary statistics. Accessibly written, this book contains chapters on univariate and bivariate methods. The former covers histograms, smoothed histograms, univariate scatterplots, quantile plots, box plots, and dot plots. The latter covers scatterplot construction guidelines, jittering for overplotted points, marginal box plots, scatterplot slicing, the Loess procedure for nonparametric scatterplot smoothing, and banking to 45 degrees for enhanced visual perception. This book provides strategies for examining data more effectively. The resultant insights help researchers avoid the problem of forcing an inaccurate model onto uncooperative data and guide analysts to model specifications that provide accurate representations of empirical information.


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Yes, you can access Statistical Graphics for Univariate and Bivariate Data by William G. Jacoby in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Contents
  3. Series Editor’s Introduction
  4. Chapter 1 - Introduction
  5. What This Monograph Is (and is not) About
  6. The Objectives of Graphical Methods
  7. The Advantages of Graphical Approaches to Data Analysis
  8. Graphical Perception
  9. Detection
  10. Assembly
  11. Estimation
  12. Conclusions
  13. Chapter 2 - Graphical Displays for Univariate Data
  14. Histograms
  15. Smoothed Histograms
  16. Unidimensional Scatterplots
  17. Quantile Plots
  18. Box Plots
  19. Dot Plots
  20. Conclusions
  21. Chapter 3 - Graphical Displays for Bivariate Data
  22. Definition and Construction Guidelines for Bivariate Scatterplots
  23. Enhancements for Bivariate Scatterplots
  24. Jittering for Overplotting and Repeated Data Points
  25. Marginal Box Plots
  26. Labeling Points
  27. Slicing a Scatterplot
  28. Nonparametric Scatterplot Smoothing
  29. The Loess Smoother
  30. The Details of Fitting a Loess Smooth Curve
  31. Fitting Parameters and Diagnostics for the Loess Smooth Curve
  32. Specifying α, the Smoothing Parameter
  33. Specifying λ, the Degree of the Loess Polynomial
  34. Goodness of Fit for a Loess Smooth Curve
  35. Aspect Ratio and Banking to 45 Degrees
  36. Conclusions
  37. Chapter 4 - Conclusions
  38. Notes
  39. References
  40. About the Author