This book provides a solid foundation in introductory biostatistics with up-to-date methods, lucid explanations, and a modern approach. Explains commonly used biostatistical methods, such as odds and risk ratios, and Fisher's exact test, in a clear and thorough manner. Introduces equivalence testing in a variety of research settings. Presents nonparametric methods in a modern light, couched in the broader context of permutation-based methods. Provides real-world data with case studies consisting of synopses of published research. Provides step-by-step solutions to exercises, along with pertinent equations used in obtaining the solution and page numbers of relevant discussions. For health science students and professionals who need to increase their understanding of biostatistics.

1. Foundations of Biostatistics 1.1 Introduction 1.2 Populations and Samples 1.3 Parameters and Statistics 1.4 Descriptive and Inferential Statistics 1.5 Why Populations and Samples? 1.6 What Happens Now? Key Words and Phrases Exercises

2. Descriptive Methods 2.1 Introduction 2.2 Sacles of Measurement 2.3 Summation Notation 2.4 Distributions 2.5 Graphs 2.6 Numerical Methods 2.7 A Re-Orientation Key Words and Phrases Exercises

3. Probability 3.1 Introduction 3.2 A Definition of Probability 3.3 Contingency Tables 3.4 The Normal Curve Key Words and Phrases Exercises

4. Introduction To Inference And One Sample Methods 4.1 Introduction 4.2 Sampling Distributions 4.3 Hypothesis Testing 4.4 Confidence Intervals 4.5 Comparison of Hypothesis Tests and Confidence Intervals 4.6 A Re-Orientation Key Words and Phrases Exercises

5. Paired Samples Methods 5.1 Introduction 5.2 Methods Related to Mean Difference 5.3 Methods Related to Proportions 5.4 Methods