Designed for one/two-semester, junior/graduate-level courses in Biostatistics, Biometry, Quantitative Biology, or Statistics, the latest edition of this best-selling biostatistics text is both comprehensive and easy to read. It provides a broad and practical overview of the statistical analysis methods used by researchers to collect, summarize, analyze, and draw conclusions from biological research data. The Fourth Edition can serve as either an introduction to the discipline for beginning students or a comprehensive procedural reference for today's practitioners.

Table of Contents

 1. 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.