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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.

Tabla de contenidos provista por Syndetics

• 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

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Library Journal Review

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. (c) Copyright 2010. Library Journals LLC, a wholly owned subsidiary of Media Source, Inc. No redistribution permitted.

Notas de autor provistas por Syndetics

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.