9780486469614-0486469611-Introduction to Biostatistics: Second Edition (Dover Books on Mathematics)

Introduction to Biostatistics: Second Edition (Dover Books on Mathematics)

ISBN-13: 9780486469614
ISBN-10: 0486469611
Edition: Second
Author: Robert R. Sokal, F. James Rohlf
Publication date: 2009
Publisher: Dover Publications
Format: Paperback 384 pages
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Book details

ISBN-13: 9780486469614
ISBN-10: 0486469611
Edition: Second
Author: Robert R. Sokal, F. James Rohlf
Publication date: 2009
Publisher: Dover Publications
Format: Paperback 384 pages

Summary

Introduction to Biostatistics: Second Edition (Dover Books on Mathematics) (ISBN-13: 9780486469614 and ISBN-10: 0486469611), written by authors Robert R. Sokal, F. James Rohlf, was published by Dover Publications in 2009. With an overall rating of 4.4 stars, it's a notable title among other Biology (Biological Sciences) books. You can easily purchase or rent Introduction to Biostatistics: Second Edition (Dover Books on Mathematics) (Paperback) from BooksRun, along with many other new and used Biology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This popular and critically acclaimed text for undergraduate courses concentrates on the practical applications of statistics to biology. Its straightforward approach offers students with a minimal background in mathematics an accessible introduction to biostatistics. Worked-out examples appear throughout the book, illuminating highly relevant examples of solutions to problems in biological data analysis.
The treatment progresses from descriptive statistics to fundamental distributions and the testing of elementary statistical hypotheses. It introduces the analysis of variance, presenting an in-depth survey that ranges from single-classification to two-way analysis of variance. Additional topics include regression, correlation, and analysis of frequencies. Numerous tables provide computational methods, from initial setup to final result, for solving a variety of biostatistical problems.

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