Zar’s Biostatistical Analysis, Fifth Edition, is the ideal book for readers 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 beginners and as a comprehensive reference book for biological researchers and other advanced users. Introduction; Populations and Samples; Measures of Central Tendency; Measures of Dispersion and Variability; Probabilities; The Normal Distribution; One-Sample Hypotheses; Two-Sample Hypotheses; Paired-Sample Hypotheses; Multisample Hypotheses: The Analysis of Variance; Multiple Comparisons; Two-Factor Analysis of Variance; Data Transformations; Multiway Factorial Analysis of Variance; Nested (Hierarchical) Analysis of Variance; Multivariate Analysis of Variance; Simple Linear Regression; Comparing Simple Linear Regression Equations; Simple Linear Correlation; Multiple Regression and Correlation; Polynomial Regression; Testing for Goodness of Fit; Contingency Tables; More on Dichotomous Variables; Testing for Randomness; Circular Distributions: Descriptive Statistics; Circular Distributions: Hypothesis Testing For all readers interested in biostatistics.
Author(s): Jerrold H. Zar
Edition: 5th Edition
Publisher: Prentice Hall
Year: 2009
Language: English
Pages: 946
Tags: Медицинские дисциплины;Социальная медицина и медико-биологическая статистика;
Book Cover......Page 1
Title Page......Page 4
CONTENTS......Page 6
Preface......Page 14
1. Data: Types and Presentation......Page 17
2. Populations and Samples......Page 30
3. Measures of Central Tendency......Page 35
4. Measures of Variability and Dispersion......Page 47
5. Probabilities......Page 63
6. The Normal Distribution......Page 80
7. One-Sample Hypotheses......Page 109
8. Two-Sample Hypotheses......Page 142
9. Paired-Sample Hypotheses......Page 187
10. Multisample Hypotheses and the Analysis of Variance......Page 197
11. Multiple Comparisons......Page 234
12. Two-Factor Analysis of Variance......Page 256
13. Data Transformations......Page 291
14. Multiway Factorial Analysis of Variance......Page 301
15. Nested (Hierarchical) Analysis of Variance......Page 312
16. Multivariate Analysis of Variance......Page 321
17. Simple Linear Regression......Page 332
18. Comparing Simple Linear Regression Equations......Page 367
19. Simple Linear Correlation......Page 383
20. Multiple Regression and Correlation......Page 419
21. Polynomial Regression......Page 459
22. Testing for Goodness of Fit......Page 467
23. Contingency Tables......Page 491
24. Dichotomous Variables......Page 519
25. Testing for Randomness......Page 587
26. Circular Distributions: Descriptive Statistics......Page 609
27. Circular Distributions: Hypothesis Testing......Page 628
App. A: The Greek Alphabet......Page 673
App. B: Statistical Tables and Graphs......Page 675
App. C: The Effects of Coding Data......Page 870
App. D: Analysis-of-Variance Hypothesis Testing......Page 872
Answers to Exercises......Page 878
Literature Cited......Page 889
Author Index......Page 925
SUBJECT INDEX......Page 933
