Cover -- Contents -- Foreword -- Preface -- Author Biographies -- 1 Getting Started with SAS Enterprise Guide -- 1.1. What is SAS Enterprise Guide? -- 1.2. Software Requirements -- 1.3. Touring the Environment -- 1.3.1. Project tree -- 1.3.2. Process flow -- 1.3.3. Server list -- 1.3.4. Help facility -- 1.4. Creating Projects -- 1.4.1. Project definition -- 1.4.2. Creating data sources -- 1.4.3. Adding data sources -- 1.4.4. Storing SAS datasets -- 1.5. Exploring Dataset Characteristics -- 1.6. Dataset Manipulations -- 1.6.1. Filtering data -- 1.6.2. Creating new variables using expressions -- 1.6.3. Recoding variables -- 1.6.4. Sorting data -- 2 Descriptive Analysis -- 2.1. Descriptive Statistics -- 2.2. Distribution Analysis -- 2.2.1. Categorical variables -- 2.2.2. Continuous variables -- 3 Exploratory Factor Analysis -- 4 Cluster Analysis -- 4.1. Hierarchical Clustering -- 4.2. Non-Hierarchical K-means Clustering -- 4.3. Profiling Clusters -- 5 Hypothesis Testing -- 5.1. Parametric Tests -- 5.1.1. One sample t Test -- 5.1.2. t Test for independent samples -- 5.1.3. t Test for paired samples -- 5.1.4. Analysis of Variance (ANOVA) -- 5.1.4.1. One-way ANOVA -- 5.1.4.2. Two-way ANOVA -- 5.1.5. Analysis of Covariance (ANCOVA) -- 5.1.6. ANOVA with repeated measures -- 5.2. Non-Parametric Tests -- 5.2.1. One sample -- 5.2.2. Independent samples -- 5.2.2.1. Two samples -- 5.2.2.2. k samples -- 5.2.3. Dependent samples -- 5.2.3.1. Two samples -- 5.2.3.2. k samples -- 6 Correlations -- 7 Regression Analysis -- 7.1. Linear Regression -- 7.1.1. Multiple regression with continuous variables -- 7.1.2. Multiple regression in the presence of a nominal independent variable (two categories) -- 7.1.3. Multiple Regression in the Presence of a Nominal Independent Variable (more than two categories) -- 7.2. Logistic Regression -- 8 Discriminant Analysis -- Index.