About this book

An introductory textbook as well as a useful reference work, Biostatistical Analysis presents a broad collection of data analysis techniques which will address the statistical needs of the great majority of contemporary biological researchers.

Contents

1. Data: Types and Presentations
2. Populations and Samples
3. Measures of Central Tendency
4. Measures of Variability and Dispersion
5. Probabilities
6. The Normal Distribution
7. One-Sample Hypotheses
8. Two-Sample Hypotheses
9. Paired-Sample Hypotheses
10. Multisample Hypotheses and 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. Dichotomous Variables
25. Testing for Randomness
26. Circular Distributions: Descriptive Statistics
27. Circular Distributions: Hypothesis Testing

Appendix A: The Greek Alphabet
Appendix B: Statistical Tables and Graphs
Appendix C: The Effects of Coding Data
Appendix D: Analysis of Variance

Hypothesis Testing
Answers to Exercises
Literature Cited
Author Index
Subject Index