This textbook takes a unique approach to explaining and demonstrating how to use and interpret statistics for the physiological, medical, and life sciences. The first third of the book presents an integrated overview and introduction to experimental design and statistical inference. The rest of the book provides an extensively cross-referenced set of 100 brief critiques of sample case studies embodying all the most common statistical errors or design problems found in the biological literature. These specific cases are effective for teaching the principles of biostatistics. The examples are drawn primarily from biomedicine, yet the book is also valuable to psychologists, social scientists, environmental scientists, ecologists, and any discipline employing statistics.

Section 1: Experimental Design 1. The Anatomy of an Experiment 2. The Anatomy of a Scientific Paper 3. Evaluation of a Scientific Article 4. Experimental Design Section 2: Statistical Inference, Analysis of Variance and Post-Hoc Analysis 5. Statistical Inference 6. Analysis of Variance (ANOVA) 7. Post-Hoc Analysis Section 3: Statistical Tests 8. Parametric Tests 9. Special ANOVA Designs and Analyses 10. Popular Post-Hoc Multiple Comparison Tests 11. Nonparametric Tests 12. Selection of Statistical Tests Section 4: Research Design Problems and Their Critiques Research Design Problem: Sample

James F. ZolmanProfessor of Physiology and Biophysics, University of Kentucky College of Medicine, Lexington

"Excellent discussion of experimental design and statistical inference. Includes good examples."--Thomas Fairchild, University of New Hampshire, Durham |k No