Biostatistical Analysis / Edition 5

by Jerrold H. Zar

Overview

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.

Product Details

ISBN-13:	9780131008465
Publisher:	Pearson
Publication date:	03/01/2009
Edition description:	New Edition
Pages:	960
Product dimensions:	8.30(w) x 10.00(h) x 1.50(d)

About the Author

Jerrold H. Zar received his undergraduate degree in Biological Sciences from Northern Illinois University in 1962. He later earned his M.S. and Ph.D. degrees in biology and zoology from the University of Illinois at Urbana-Champaign. Zar then returned to Northern Illinois University for 34 years to serve in a variety of capacities. He joined the faculty at NIU as an Assistant Professor in 1968 and quickly rose through the ranks of associate and full professor to become Chair of the Department of Biological Sciences in 1978. He served two terms as Chair of the Department and then, became the Vice Provost for Graduate Studies and Research and Dean of the Graduate School. He was a founder of the Illinois Minority Graduate Incentive Program and the Illinois Consortium for Educational Opportunities Program, where he helped create and protect fellowship opportunities for minority graduate students at universities across the state. Zar is a member of 17 professional scientific societies, including being an elected fellow of the American Association for the Advancement of Science. His many research publications cover a range of topics, from statistical analysis to physiological adaptations of animals to their environment.

Table of 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 B: Analysis of Variance Hypothesis Testing

Answers to Exercises

Literature Cited

Author Index

Subject Index

Editorial Reviews

This book combines useful explanations of statistical methods in the biological sciences with statistical graphs and tables frequently employed by researchers. It requires no previous knowledge of statistics and can be used as a reference tool for those looking for information on population sampling, frequency analysis, probabilities, and more. Copyright 1999 Cahners Business Information.

Library Journal

Presents a broad collection of data analysis techniques suitable for biological investigations, either as an introductory textbook assuming no prior knowledge of statistics, or as a reference on concepts and procedures of statistical analysis for professional use in the biological disciplines. Each chapter includes worked examples throughout and exercises at the end, with answers at the back of the volume. The appendices include analysis of variance hypothesis testing as well as numerous statistical tables and graphs. This edition (second was 1984) reflects the increased computational use of computers. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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