Biostatistical Analysis (5th Edition)

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. Book Cover......Page 1 Title Page......Page 4 CONTENTS......Page 6 Preface......Page 14 1. Data: Types and Presentation......Page 17 2. Populations and Samples......Page 30 3. Measures of Central Tendency......Page 35 4. Measures of Variability and Dispersion......Page 47 5. Probabilities......Page 63 6. The Normal Distribution......Page 80 7. One-Sample Hypotheses......Page 109 8. Two-Sample Hypotheses......Page 142 9. Paired-Sample Hypotheses......Page 187 10. Multisample Hypotheses and the Analysis of Variance......Page 197 11. Multiple Comparisons......Page 234 12. Two-Factor Analysis of Variance......Page 256 13. Data Transformations......Page 291 14. Multiway Factorial Analysis of Variance......Page 301 15. Nested (Hierarchical) Analysis of Variance......Page 312 16. Multivariate Analysis of Variance......Page 321 17. Simple Linear Regression......Page 332 18. Comparing Simple Linear Regression Equations......Page 367 19. Simple Linear Correlation......Page 383 20. Multiple Regression and Correlation......Page 419 21. Polynomial Regression......Page 459 22. Testing for Goodness of Fit......Page 467 23. Contingency Tables......Page 491 24. Dichotomous Variables......Page 519 25. Testing for Randomness......Page 587 26. Circular Distributions: Descriptive Statistics......Page 609 27. Circular Distributions: Hypothesis Testing......Page 628 App. A: The Greek Alphabet......Page 673 App. B: Statistical Tables and Graphs......Page 675 App. C: The Effects of Coding Data......Page 870 App. D: Analysis-of-Variance Hypothesis Testing......Page 872 Answers to Exercises......Page 878 Literature Cited......Page 889 Author Index......Page 925 SUBJECT INDEX......Page 933 This Textbook Introduces All Biostatistical Methods While Assuming No Statiscal Background. Comprehensive, Topical Coverage Covers All Areas Of The Biology Curriculum That Benefit From Statistical Analysis. 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. Jerrold H. Zar. Includes Bibliographical References (p. 886-921) And Indexes.