Biostatistical Analysis (5th Edition)

Biostatistical Analysis (5th Edition)
by Jerrold H. Zar

Biostatistical Analysis (5th Edition)
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Book Summary Information

Author: Jerrold H. Zar
Edition: Hardcover
Audio: English (Unknown); English (Original Language); English (Published)
Published: 2009-02-25
ISBN: 0131008463
Number of pages: 960
Publisher: Prentice Hall

Book Reviews of Biostatistical Analysis (5th Edition)

Book Review: Great for learning and reference
Summary: 5 Stars

I got this book as a required text for a graduate-level biology data analysis course. It has quickly become one of my favorite textbooks. The layout and writing are clear, with just the right amount of explanation of concepts and procedures. It is neither too basic nor so advanced as to be difficult to understand. It includes chapters on the various forms of the most basic and common statistical tests (t-test, chi-squared test, regression, ANOVA and nonparametric counterparts where applicable) as well as discussion of and tests used for other types of analysis (circular data, logistic regression, and many others). The majority of discussed tests have worked-out examples, and tables of critical values are included in the back of the book. Where Zar does not go into the detail, he gives citations for where readers should go to find information on a subject.

I would highly recommend this book for anybody wishing to study or have a reference for biostatistics.

Summary of 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.

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