Biostatistical analysis

Zar's Biostatistical Analysis, Fifth Edition, is the ideal textbook for graduate and undergraduate students seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze, and draw conclusions from biological research. The latest edition of this best-selling textbook is both comprehensive and easy to read. It is suitable as an introduction for beginning students and as a comprehensive procedural reference for today's practitioners. This book is appropriate for a one- or two-semester, junior or graduate-level course in biostatistics, biometry, quantitative biology, or statistics, and assumes a prerequisite of algebra1. Introduction 2. Populations and Samples 3. Measures of Central Tendency 4. Measures of Dispersion and Variability 5. Probabilities 6. The Normal Distribution 7. One-Sample Hypotheses 8. Two-Sample Hypotheses 9. Paired-Sample Hypotheses 10. Multisample Hypotheses: The Analysis of Variance 11. Multiple Comparisons 12. Two-Factor Analysis of Variance 13. Data Transformations 14. Multiway Factorial Analysis of Variance 15. Nested (Hierarchical) Analysis of Variance 16. Multivariate Analysis of Variance 17. Simple Linear Regression 18. Comparing Simple Linear Regression Equations 19. Simple Linear Correlation 20. Multiple Regression and Correlation 21. Polynomial Regression 22. Testing for Goodness of Fit 23. Contingency Tables 24. More on Dichotomous Variables 25. Testing for Randomness 26. Circular Distributions: Descriptive Statistics 27. Circular Distributions: Hypothesis Testing Appendix A: Analysis of Variance Hypothesis Testing Appendix B: Statistical Tables and Graphs Answers to Exercises Literature Cited Index