Foreword - Introduction to Statistics and Statistical Machine Learning

Introduction to the IBM SPSS Statistics Software Package - Introduction to the R Language - Introduction to the Python Language

Descriptive Analysis of Quantitative Data - Graphical Representation of Quantitative Data - Graphical Methods for Testing Normality

Tests of Normality - Statistical Inference for One Sample - Statistical Inference for Two Independent Samples

Statistical Inference for Two Dependent Samples - Statistical Inference for K Independent Samples - Statistical Inference for K Dependent Samples

Description of Categorical Variables and Inference for Proportions - Contingency Tables for Qualitative Variables

Diagnostic Tests and ROC Curves - Correlation of Quantitative Variables - Introduction to Linear Regression

Logistic Regression - Introduction to Survival Analysis - Principal Component Analysis

Extensions of Linear Regression - Introduction to Analysis of Covariance

Evaluation of Questionnaire Reliability - Factor Analysis - Discriminant Analysis - Classification

Introduction to Cluster Analysis - Decision Trees - Neural Networks

Case Studies - Statistical Tables - Bibliography - Glossary of Terms - Index