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…mehr
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.
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.
Inhaltsangabe
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 Answers to Exercises Literature Cited Author Index Subject Index
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 Answers to Exercises Literature Cited Author Index Subject Index
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