9780321771766-0321771761-Statistics for the Life Sciences, Books a la Carte edition (4th Edition)

Statistics for the Life Sciences, Books a la Carte edition (4th Edition)

ISBN-13: 9780321771766
ISBN-10: 0321771761
Edition: 4
Author: Andrew Schaffner, Myra L. Samuels, Jeff Witmer
Publication date: 2011
Publisher: Pearson
Format: Loose Leaf 672 pages
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Book details

ISBN-13: 9780321771766
ISBN-10: 0321771761
Edition: 4
Author: Andrew Schaffner, Myra L. Samuels, Jeff Witmer
Publication date: 2011
Publisher: Pearson
Format: Loose Leaf 672 pages

Summary

Statistics for the Life Sciences, Books a la Carte edition (4th Edition) (ISBN-13: 9780321771766 and ISBN-10: 0321771761), written by authors Andrew Schaffner, Myra L. Samuels, Jeff Witmer, was published by Pearson in 2011. With an overall rating of 4.3 stars, it's a notable title among other Biological Sciences books. You can easily purchase or rent Statistics for the Life Sciences, Books a la Carte edition (4th Edition) (Loose Leaf) from BooksRun, along with many other new and used Biological Sciences books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.57.

Description

This edition features the exact same content as the traditional text in a convenient, three-hole- punched, loose-leaf version. Books a la Carte also offer a great value—this format costs significantly less than a new textbook.

Statistics for the Life Sciences, Fourth Edition, is the perfect book for introductory statistics classes, covering the key concepts of statistics as applied to the life sciences, while incorporating the tools and themes of modern data analysis. This text uses an abundance of real data in the exercises and examples to minimize computation, so that students can focus on the statistical concepts and issues, not the mathematics. Basic algebra is assumed as a prerequisite.

This latest edition is also available as an enhanced Pearson eText. This exciting new version features an embedded version of StatCrunch, allowing students to analyze data sets while reading the book.

For graduate or undergraduate courses in biology, agronomy, medical and health sciences, nutrition, pharmacy, animal science, physical education, forestry, and other life sciences.
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