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Record Nr. |
UNINA9910153117003321 |
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Autore |
Zar Jerrold H. <1941-> |
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Titolo |
Biostatistical analysis / / Jerrold H. Zar |
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Pubbl/distr/stampa |
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Harlow, England : , : Pearson Education Limited, , [2014] |
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©2014 |
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ISBN |
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1292037113 |
9781282937119 |
1292042046 |
9781292024042 |
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Edizione |
[Fifth edition.] |
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Descrizione fisica |
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1 online resource (ii, 756 pages) : illustrations |
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Collana |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1. Data: Types and Presentation -- 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. |
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Sommario/riassunto |
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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 |
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read. It is suitable as an introduction for beginning students and as a comprehensive procedural reference for today's practitioners. 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. |
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