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.

zar’s Biostatistical Analysis, Fifth Edition, Is The Ideal Book For Readers Who Seek 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 Procedural Reference For Today’s Practitioners.

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.

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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. Copyright 1999 Cahners Business Information.

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. Book Cover Title Page CONTENTS Preface 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 App. A: The Greek Alphabet App. B: Statistical Tables and Graphs App. C: The Effects of Coding Data App. D: Analysis-of-Variance Hypothesis Testing Answers to Exercises Literature Cited Author Index SUBJECT INDEX