9781119496700-1119496705-Biostatistics: A Foundation for Analysis in the Health Sciences, Eleventh Edition

Biostatistics: A Foundation for Analysis in the Health Sciences, Eleventh Edition

ISBN-13: 9781119496700
ISBN-10: 1119496705
Author: Wayne W. Daniel, Chad L. Cross
Publication date: 2018
Publisher: Wiley
Format: Paperback 716 pages
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Book details

ISBN-13: 9781119496700
ISBN-10: 1119496705
Author: Wayne W. Daniel, Chad L. Cross
Publication date: 2018
Publisher: Wiley
Format: Paperback 716 pages

Summary

Biostatistics: A Foundation for Analysis in the Health Sciences, Eleventh Edition (ISBN-13: 9781119496700 and ISBN-10: 1119496705), written by authors Wayne W. Daniel, Chad L. Cross, was published by Wiley in 2018. With an overall rating of 4.0 stars, it's a notable title among other Biology (Biological Sciences) books. You can easily purchase or rent Biostatistics: A Foundation for Analysis in the Health Sciences, Eleventh Edition (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 $0.57.

Description

The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand--and appropriately use--probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.

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