Biostatistical Analysis
International Edition
4th Edition
Published on 10. November 1998
Book
Paperback/Softback
929 pages
978-0-13-082390-8 (ISBN)
Description
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.
More details
Edition
4th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 178 mm
Thickness: 32 mm
Weight
1294 gr
ISBN-13
978-0-13-082390-8 (9780130823908)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
03/2009
5th Edition
Pearson
€136.17
Article exhausted; check for reprint
Previous edition
Jerrold H. Zar
Biostatistical Analysis
Book
12/1996
3rd Edition
Prentice-Hall
€32.13
Article exhausted; check for reprint
Content
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.
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.