Table of Contents

Preface; 1. Introduction; 2. 'Doing Science' - hypotheses, experiments and disproof; 3. Collecting and displaying data; 4. Introductory concepts of experimental design; 5. Probability helps you make a decision about your results; 6. Working from samples - data, populations and statistics; 7. Normal distributions - test for comparing the means of one or two samples; 8. Type 1 and Type 2 error, power and sample size; 9. Single factor analysis of variance; 10. Multiple comparisons after ANOVA; 11. Two factor analysis of variance; 12. Important assumptions of analysis of variance: transformations and a test for equality of variances; 13. Two factor analysis of variance without replication, and nested analysis of variance; 14. Relationships between variables: linear correlation and linear regression; 15. Simple linear regression; 16. Non-parametric statistics; 17. Non-parametric tests for nominal scale data; 18. Non-parametric tests for ratio, interval or ordinal scale data; 19. Choosing a test; 20. Doing science responsibly and ethically.

Promotional Information

Student-friendly introduction to statistics, essential for bioscience undergraduates, particularly those without a strong mathematical background.

About the Author

STEVE McKILLUP is an Associate Professor of Biology in the School of Biological and Environmental Sciences at Central Queensland University, Rockhampton.

Reviews

'McKillup deserves to be congratulated on having produced a clear and accessible statistics book pitched at the uninitiated or the unsure. The slightly panicky should relax and take a quiet dose of a couple of chapters at a time and pretty soon all should seem much less awful. For the novice, confident or not, Statistics Explained offers an excellent primer that does not purport to be fully comprehensive yet manages to cover most things one really needs to know.' Ian C. W. Hardy, University of Nottingham 'This book would be an excellent course textbook to be used as an accompaniment to an undergraduate (or postgraduate) course in statistics and experimental design (either by students, or as a basis for teaching ... There are distinct strengths to this book. the procedure adopted for statistical tests remains consistent throughout the book. The chapters are built up skilfully, the order of ideas being entirely appropriate. These ideas are 'sign-posted' with carefully chosen sub-headings, and the explanations carefully crafted to focus on students' understanding, rather than simply enabling them to mechanically number-crunch, avoiding excessive mathematical terminology.' JBE 'McKillup deserves to be congratulated on having produced a clear and accessible statistics book pitched at the uninitiated or the unsure. The slightly panicky should relax and take a quiet dose of a couple of chapters at a time and pretty soon all should seem much less awful ... My overall opinion of this book is captured by the fact that this is the introductory text that I shall be recommending to the students on the statistical analysis module that I teach next semester.' Journal of Agricultural Science 'This book will be a valuable reference and learning aid for all students without a strong mathematical background seeking a conceptual understanding of statistical design. I would recommend this book if you are interested in teaching an introductory statistics course for undergraduate students in the life sciences arena.' American Statistical Association