Biostatistical Analysis 5th Jerrold H. Zar

Description 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