# Biostatistical Analysis (Classic Version), 5th edition

• Jerrold H. Zar

## Biostatistical Analysis (Classic Version)

ISBN-13:  9780134995441

Paperback
Free delivery
\$85.32 \$106.65
Free delivery
\$85.32 \$106.65

### What's included

• Paperback

You'll get a bound printed text.

## Overview

Zar’s Biostatistical Analysis, Fifth Edition is the ideal textbook for graduate and undergraduate students 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 beginning students and as a comprehensive reference book for biological researchers and for advanced students.

This book is appropriate for a one- or two-semester, junior or graduate-level course in biostatistics, biometry, quantitative biology, or statistics, and assumes a prerequisite of algebra.

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