This book will enable you to handle numerical data and critically appraise the veterinary and animal science literature. Written in a non-mathematical way, the emphasis is on understanding the underlying concepts and correctly interpreting computer output, and not on working through mathematical formulae.

Table of Contents

• Preface to third edition
• Preface to second edition
• Preface to first edition
• About the companion website
• 1 The whys and wherefores of statistics
• 2 Descriptive statistics
• 3 Probability and probability distributions
• 4 Sampling and sampling distributions
• 5 Experimental design and clinical trials
• 6 An introduction to hypothesis testing
• 7 Hypothesis tests 1 – the t-test: comparing one or two means
• 8 Hypothesis tests 2 – the F-test: comparing two variances or more than two means
• 9 Hypothesis tests 3 – the Chi-squared test: comparing proportions
• 10 Linear correlation and regression
• 11 Further regression analyses
• 13 Further aspects of design and analysis
• 14 Additional techniques
• 15 Some specialized issues and procedures
• 16 Evidence-based veterinary medicine
• 17 Reporting guidelines
• 18 Critical appraisal of reported studies
• Solutions to exercises
• Appendices
• A Statistical tables
• B Tables of confidence intervals
• C Glossary of notation
• D Glossary of terms
• E Flowcharts for selection of appropriate tests
• References