This handbook covers essential graphical methods for statisticians and explains how to implement the methods using SAS 9.4. It shows how to use SAS's newer ODS graphics to create many types of statistical graphics for exploring data and diagnosing fitted models. Each chapter deals graphically with several sets of example data from a wide variety of areas, such as epidemiology, medicine, and psychology. The SAS programs and data sets are available online.

An Introduction to Graphics: Good Graphics, Bad Graphics, Catastrophic Graphics and Statistical Graphics. An Introduction to ODS Graphics. Graphs for Displaying the Characteristics of Univariate Data: Horse Racing, Mortality Rates, Forearm Lengths, Survival Times and Geyser Eruptions. Graphs for Displaying Cross-Classified Categorical Data: Germinating Seeds, Piston Rings, Hodgkin's Disease and European Stereotypes. Graphs for Use When Applying t-Tests and Analyses of Variance: Skulls, Cancer Survival Times and Effect of Smoking on Performance. Linear Regression, the Scatterplot and Beyond: Galaxies, Anaerobic Threshold, Birds on Islands, Birth and Death Rates, U.S. Birth Rates during and after World War II, and Air Pollution in U.S. Cities. Graphs for Logistic Regression: Blood Screening, Women's Role in Society and Feeding Alligators. Graphing Longitudinal Data: Glucose Tolerance Tests and Cognitive Behavioural Therapy (CBT) for Depression. Graphs for Survival Data: Motion Sickness and Breast Cancer. References. Index.