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Biostatistical Analysis (Classic Version)

Jerrold Zar (Autor)

Buch | Softcover

960 Seiten

2018 | 5th edition
Pearson (Verlag)
978-0-13-499544-1 (ISBN)

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For a one- or two-semester, junior or graduate-level course in biostatistics Biostatistical Analysis is the ideal textbook for graduate and undergraduate students seeking practical coverage of statistical analysis methods used by researchers to collect, summarise, analyse and draw conclusions from biological research. This 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 courses in biostatistics, biometry, quantitative biology, or statistics, and assumes a prerequisite of algebra.

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. His many research publications cover a range of topics, from statistical analysis to physiological adaptations of animals to their environment.

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

Erscheinungsdatum	12.06.2018
Reihe/Serie	Pearson Modern Classics for Advanced Statistics Series
Sprache	englisch
Maße	205 x 255 mm
Gewicht	1880 g
Themenwelt	Naturwissenschaften ► Biologie
ISBN-10	0-13-499544-9 / 0134995449
ISBN-13	978-0-13-499544-1 / 9780134995441
Zustand	Neuware